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GitHub - ysh329/deep-learning-model-convertor: The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
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</div> </modal-dialog></div> </div> <div data-action="click:qbsearch-input#retract" class="dark-backdrop position-fixed" hidden data-target="qbsearch-input.darkBackdrop"></div> <div class="color-fg-default"> <dialog-helper> <dialog data-target="qbsearch-input.feedbackDialog" data-action="close:qbsearch-input#handleDialogClose cancel:qbsearch-input#handleDialogClose" id="feedback-dialog" aria-modal="true" aria-labelledby="feedback-dialog-title" aria-describedby="feedback-dialog-description" data-view-component="true" class="Overlay Overlay-whenNarrow Overlay--size-medium Overlay--motion-scaleFade Overlay--disableScroll"> <div data-view-component="true" class="Overlay-header"> <div class="Overlay-headerContentWrap"> <div class="Overlay-titleWrap"> <h1 class="Overlay-title " id="feedback-dialog-title"> Provide feedback </h1> </div> <div class="Overlay-actionWrap"> <button data-close-dialog-id="feedback-dialog" aria-label="Close" type="button" data-view-component="true" class="close-button 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seriously.</p> <textarea name="feedback" class="form-control width-full mb-2" style="height: 120px" id="feedback"></textarea> <input name="include_email" id="include_email" aria-label="Include my email address so I can be contacted" class="form-control mr-2" type="checkbox"> <label for="include_email" style="font-weight: normal">Include my email address so I can be contacted</label> </form></div> </scrollable-region> <div data-view-component="true" class="Overlay-footer Overlay-footer--alignEnd"> <button data-close-dialog-id="feedback-dialog" type="button" data-view-component="true" class="btn"> Cancel </button> <button form="code-search-feedback-form" data-action="click:qbsearch-input#submitFeedback" type="submit" data-view-component="true" class="btn-primary btn"> Submit feedback </button> </div> </dialog></dialog-helper> <custom-scopes data-target="qbsearch-input.customScopesManager"> <dialog-helper> <dialog data-target="custom-scopes.customScopesModalDialog" data-action="close:qbsearch-input#handleDialogClose cancel:qbsearch-input#handleDialogClose" id="custom-scopes-dialog" aria-modal="true" aria-labelledby="custom-scopes-dialog-title" aria-describedby="custom-scopes-dialog-description" data-view-component="true" class="Overlay Overlay-whenNarrow Overlay--size-medium Overlay--motion-scaleFade Overlay--disableScroll"> <div data-view-component="true" class="Overlay-header Overlay-header--divided"> <div class="Overlay-headerContentWrap"> <div class="Overlay-titleWrap"> <h1 class="Overlay-title " id="custom-scopes-dialog-title"> Saved searches </h1> <h2 id="custom-scopes-dialog-description" class="Overlay-description">Use saved searches to filter your results more quickly</h2> </div> <div class="Overlay-actionWrap"> <button data-close-dialog-id="custom-scopes-dialog" aria-label="Close" type="button" data-view-component="true" class="close-button Overlay-closeButton"><svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-x"> <path d="M3.72 3.72a.75.75 0 0 1 1.06 0L8 6.94l3.22-3.22a.749.749 0 0 1 1.275.326.749.749 0 0 1-.215.734L9.06 8l3.22 3.22a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L8 9.06l-3.22 3.22a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L6.94 8 3.72 4.78a.75.75 0 0 1 0-1.06Z"></path> </svg></button> </div> </div> </div> <scrollable-region data-labelled-by="custom-scopes-dialog-title"> <div data-view-component="true" class="Overlay-body"> <div data-target="custom-scopes.customScopesModalDialogFlash"></div> <div hidden class="create-custom-scope-form" data-target="custom-scopes.createCustomScopeForm"> <!-- '"` --><!-- </textarea></xmp> --></option></form><form id="custom-scopes-dialog-form" data-turbo="false" action="/search/custom_scopes" accept-charset="UTF-8" method="post"><input type="hidden" data-csrf="true" name="authenticity_token" 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data-target="react-partial.embeddedData">{"props":{"initialPayload":{"allShortcutsEnabled":false,"path":"/","repo":{"id":88418646,"defaultBranch":"master","name":"deep-learning-model-convertor","ownerLogin":"ysh329","currentUserCanPush":false,"isFork":false,"isEmpty":false,"createdAt":"2017-04-16T14:28:41.000Z","ownerAvatar":"https://avatars.githubusercontent.com/u/7320657?v=4","public":true,"private":false,"isOrgOwned":false},"currentUser":null,"refInfo":{"name":"master","listCacheKey":"v0:1517918356.0","canEdit":false,"refType":"branch","currentOid":"30ceb94bbd6f46cb010f00503c49c89cf07293f2"},"tree":{"items":[{"name":"README.md","path":"README.md","contentType":"file"},{"name":"_config.yml","path":"_config.yml","contentType":"file"}],"templateDirectorySuggestionUrl":null,"readme":null,"totalCount":2,"showBranchInfobar":false},"fileTree":null,"fileTreeProcessingTime":null,"foldersToFetch":[],"treeExpanded":false,"symbolsExpanded":false,"isOverview":true,"overview":{"banners":{"shouldRecommendReadme":false,"isPersonalRepo":false,"showUseActionBanner":false,"actionSlug":null,"actionId":null,"showProtectBranchBanner":false,"publishBannersInfo":{"dismissActionNoticePath":"/settings/dismiss-notice/publish_action_from_repo","releasePath":"/ysh329/deep-learning-model-convertor/releases/new?marketplace=true","showPublishActionBanner":false},"interactionLimitBanner":null,"showInvitationBanner":false,"inviterName":null,"actionsMigrationBannerInfo":{"releaseTags":[],"showImmutableActionsMigrationBanner":false,"initialMigrationStatus":null}},"codeButton":{"contactPath":"/contact","isEnterprise":false,"local":{"protocolInfo":{"httpAvailable":true,"sshAvailable":null,"httpUrl":"https://github.com/ysh329/deep-learning-model-convertor.git","showCloneWarning":null,"sshUrl":null,"sshCertificatesRequired":null,"sshCertificatesAvailable":null,"ghCliUrl":"gh repo clone ysh329/deep-learning-model-convertor","defaultProtocol":"http","newSshKeyUrl":"/settings/ssh/new","setProtocolPath":"/users/set_protocol"},"platformInfo":{"cloneUrl":"https://desktop.github.com","showVisualStudioCloneButton":false,"visualStudioCloneUrl":"https://windows.github.com","showXcodeCloneButton":false,"xcodeCloneUrl":"xcode://clone?repo=https%3A%2F%2Fgithub.com%2Fysh329%2Fdeep-learning-model-convertor","zipballUrl":"/ysh329/deep-learning-model-convertor/archive/refs/heads/master.zip"}},"newCodespacePath":"/codespaces/new?hide_repo_select=true\u0026repo=88418646"},"popovers":{"rename":null,"renamedParentRepo":null},"commitCount":"112","overviewFiles":[{"displayName":"README.md","repoName":"deep-learning-model-convertor","refName":"master","path":"README.md","preferredFileType":"readme","tabName":"README","richText":"\u003carticle class=\"markdown-body entry-content container-lg\" itemprop=\"text\"\u003e\u003cp dir=\"auto\"\u003eThe project will be updated continuously ...... \u003c/p\u003e\n\u003cp dir=\"auto\"\u003ePull requests are welcome!\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch1 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/ysh329/deep-learning-model-convertor\"\u003eDeep Learning Model Convertors\u003c/a\u003e\u003c/h1\u003e\u003ca id=\"user-content-deep-learning-model-convertors\" class=\"anchor\" aria-label=\"Permalink: Deep Learning Model Convertors\" href=\"#deep-learning-model-convertors\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eNote: \u003cstrong\u003eThis is not one convertor for all frameworks, but a collection of different converters.\u003c/strong\u003e Because github is an open source platform, I hope we can help each other here, gather everyone's strength.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eBecause of these different frameworks, the awesome convertors of deep learning models for different frameworks occur. It should be noted that I did not test all the converters, so I could not guarantee that each was available. But I also hope this convertor collection may help you!\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eThe sheet below is a overview of all convertors in github (not only contain official provided and more are user-self implementations). I just make a little work to collect these convertors. Also, hope everyone can support this project to help more people who're also crazy because of various frameworks.\u003c/p\u003e\n\u003cmarkdown-accessiblity-table\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003econvertor\u003c/th\u003e\n\u003cth align=\"center\"\u003e\u003ca href=\"http://data.dmlc.ml/models/\" rel=\"nofollow\"\u003emxnet\u003c/a\u003e\u003c/th\u003e\n\u003cth align=\"center\"\u003e\u003ca href=\"https://github.com/BVLC/caffe/wiki/Model-Zoo\"\u003ecaffe\u003c/a\u003e ✨\u003c/th\u003e\n\u003cth align=\"center\"\u003e\u003ca href=\"https://github.com/caffe2/caffe2/wiki/Model-Zoo\"\u003ecaffe2\u003c/a\u003e\u003c/th\u003e\n\u003cth align=\"center\"\u003e\u003ca href=\"https://www.microsoft.com/en-us/cognitive-toolkit/features/model-gallery/\" rel=\"nofollow\"\u003eCNTK\u003c/a\u003e\u003c/th\u003e\n\u003cth align=\"center\"\u003e\u003ca href=\"https://github.com/Theano/Theano/wiki/Related-projects\"\u003etheano\u003c/a\u003e/\u003ca href=\"https://github.com/Lasagne/Recipes\"\u003elasagne\u003c/a\u003e\u003c/th\u003e\n\u003cth align=\"center\"\u003e\u003ca href=\"https://github.com/NervanaSystems/ModelZoo\"\u003eneon\u003c/a\u003e\u003c/th\u003e\n\u003cth align=\"center\"\u003e\u003ca href=\"https://github.com/pytorch/vision\"\u003epytorch\u003c/a\u003e✨\u003c/th\u003e\n\u003cth align=\"center\"\u003e\u003ca href=\"https://github.com/torch/torch7/wiki/ModelZoo\"\u003etorch\u003c/a\u003e\u003c/th\u003e\n\u003cth align=\"center\"\u003e\u003ca href=\"https://github.com/fchollet/deep-learning-models\"\u003ekeras\u003c/a\u003e ✨\u003c/th\u003e\n\u003cth align=\"center\"\u003e\u003ca href=\"https://pjreddie.com/darknet/imagenet/\" rel=\"nofollow\"\u003edarknet\u003c/a\u003e\u003c/th\u003e\n\u003cth align=\"center\"\u003e\u003ca href=\"https://github.com/tensorflow/models\"\u003etensorflow\u003c/a\u003e ✨\u003c/th\u003e\n\u003cth align=\"center\"\u003e\u003ca href=\"http://docs.chainer.org/en/stable/reference/caffe.html\" rel=\"nofollow\"\u003echainer\u003c/a\u003e\u003c/th\u003e\n\u003cth align=\"center\"\u003e\u003ca href=\"https://developer.apple.com/documentation/coreml\" rel=\"nofollow\"\u003ecoreML/iOS\u003c/a\u003e ✨\u003c/th\u003e\n\u003cth align=\"center\"\u003e\u003ca href=\"https://github.com/PaddlePaddle/models\"\u003epaddle\u003c/a\u003e\u003c/th\u003e\n\u003cth align=\"center\"\u003eONNX\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e\u003ca href=\"http://data.dmlc.ml/models/\" rel=\"nofollow\"\u003emxnet\u003c/a\u003e\u003c/strong\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e-\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e \u003ca href=\"https://github.com/cypw/MXNet2Caffe\"\u003eMXNet2Caffe\u003c/a\u003e \u003ca href=\"https://github.com/wranglerwong/Mxnet2Caffe\"\u003eMxnet2Caffe\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn (through ONNX)\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e \u003ca href=\"https://github.com/nerox8664/gluon2pytorch\"\u003egluon2pytorch\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/apache/incubator-mxnet/tree/master/tools/coreml\"\u003emxnet-to-coreml\u003c/a\u003e \u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e\u003ca href=\"https://github.com/BVLC/caffe/wiki/Model-Zoo\"\u003ecaffe\u003c/a\u003e\u003c/strong\u003e ✨\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/dmlc/mxnet/tree/master/tools/caffe_converter\"\u003emxnet/tools/caffe_converter\u003c/a\u003e \u003ca href=\"https://github.com/nicklhy/ResNet_caffe2mxnet\"\u003eResNet_caffe2mxnet\u003c/a\u003e \u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e-\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://caffe2.ai/docs/caffe-migration.html#caffe-to-caffe2\" rel=\"nofollow\"\u003eCaffeToCaffe2\u003c/a\u003e \u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn (through ONNX)\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/CNTK/tree/master/bindings/python/cntk/contrib/crosstalkcaffe\"\u003ecrosstalkcaffe/CaffeConverter\u003c/a\u003e \u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/an-kumar/caffe-theano-conversion\"\u003ecaffe_theano_conversion\u003c/a\u003e \u003ca href=\"https://github.com/kencoken/caffe-model-convert\"\u003ecaffe-model-convert\u003c/a\u003e \u003ca href=\"https://github.com/piergiaj/caffe-to-theano\"\u003ecaffe-to-theano\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/NervanaSystems/caffe2neon\"\u003ecaffe2neon\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e \u003ca href=\"https://github.com/marvis/pytorch-caffe\"\u003epytorch-caffe\u003c/a\u003e \u003ca href=\"https://github.com/ruotianluo/pytorch-resnet\"\u003epytorch-resnet\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/kmatzen/googlenet-caffe2torch\"\u003egooglenet-caffe2torch\u003c/a\u003e \u003ca href=\"https://github.com/kuangliu/mocha\"\u003emocha\u003c/a\u003e \u003ca href=\"https://github.com/szagoruyko/loadcaffe\"\u003eloadcaffe\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/AlexPasqua/keras-caffe-converter\"\u003ekeras-caffe-converter\u003c/a\u003e \u003ca href=\"https://github.com/AlexPasqua/caffe_weight_converter\"\u003ecaffe_weight_converter\u003c/a\u003e \u003ca href=\"https://github.com/qxcv/caffe2keras\"\u003ecaffe2keras\u003c/a\u003e \u003ca href=\"https://github.com/hahnyuan/nn_tools\"\u003enn_tools\u003c/a\u003e \u003ca href=\"https://github.com/MarcBS/keras\"\u003ekeras\u003c/a\u003e \u003ca href=\"https://github.com/OdinLin/caffe2keras\"\u003ecaffe2keras\u003c/a\u003e \u003ca href=\"https://github.com/jamescfli/Deep_Learning_Model_Converter\"\u003eDeep_Learning_Model_Converter\u003c/a\u003e \u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/marvis/pytorch-caffe-darknet-convert\"\u003epytorch-caffe-darknet-convert\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e \u003ca href=\"https://github.com/hahnyuan/nn_tools\"\u003enn_tools\u003c/a\u003e \u003ca href=\"https://github.com/ethereon/caffe-tensorflow\"\u003ecaffe-tensorflow\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/mdering/CoreMLZoo\"\u003eCoreMLZoo\u003c/a\u003e \u003ca href=\"https://apple.github.io/coremltools/\" rel=\"nofollow\"\u003eapple/coremltools\u003c/a\u003e \u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/PaddlePaddle/X2Paddle\"\u003eX2Paddle\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/inisis/caffe2onnx\"\u003ecaffe2onnx\u003c/a\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e\u003ca href=\"https://github.com/caffe2/caffe2/wiki/Model-Zoo\"\u003ecaffe2\u003c/a\u003e\u003c/strong\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e-\u003c/td\u003e\n\u003ctd align=\"center\"\u003eONNX\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eONNX\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e\u003ca href=\"https://www.microsoft.com/en-us/cognitive-toolkit/features/model-gallery/\" rel=\"nofollow\"\u003eCNTK\u003c/a\u003e\u003c/strong\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eONNX \u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn (through ONNX)\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e-\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eONNX \u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e\u003ca href=\"https://github.com/Theano/Theano/wiki/Related-projects\"\u003etheano\u003c/a\u003e/\u003ca href=\"https://github.com/Lasagne/Recipes\"\u003elasagne\u003c/a\u003e\u003c/strong\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e - \u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e\u003ca href=\"https://github.com/NervanaSystems/ModelZoo\"\u003eneon\u003c/a\u003e\u003c/strong\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e-\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e\u003ca href=\"https://github.com/pytorch/vision\"\u003epytorch\u003c/a\u003e\u003c/strong\u003e ✨\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/inisis/brocolli\"\u003ebrocolli\u003c/a\u003e \u003ca href=\"https://github.com/xxradon/PytorchToCaffe\"\u003ePytorchToCaffe\u003c/a\u003e \u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e \u003ca href=\"https://github.com/longcw/pytorch2caffe\"\u003epytorch2caffe\u003c/a\u003e \u003ca href=\"https://github.com/marvis/pytorch-caffe-darknet-convert\"\u003epytorch-caffe-darknet-convert\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/onnx/onnx-caffe2\"\u003eonnx-caffe2\u003c/a\u003e \u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn (through ONNX)\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eONNX \u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e-\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e \u003ca href=\"https://github.com/nerox8664/pytorch2keras\"\u003epytorch2keras\u003c/a\u003e \u003ca href=\"https://github.com/gzuidhof/nn-transfer\"\u003enn-transfer\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/marvis/pytorch-caffe-darknet-convert\"\u003epytorch-caffe-darknet-convert\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e \u003ca href=\"https://github.com/nerox8664/pytorch2keras\"\u003epytorch2keras\u003c/a\u003e (over Keras) \u003ca href=\"https://github.com/leonidk/pytorch-tf\"\u003epytorch-tf\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e \u003ca href=\"https://github.com/onnx/onnx-coreml\"\u003eonnx-coreml\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e\u003ca href=\"https://github.com/torch/torch7/wiki/ModelZoo\"\u003etorch\u003c/a\u003e\u003c/strong\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/facebook/fb-caffe-exts#torch2caffe\"\u003efb-caffe-exts/torch2caffe\u003c/a\u003e \u003ca href=\"https://github.com/kuangliu/mocha\"\u003emocha\u003c/a\u003e \u003ca href=\"https://github.com/Teaonly/trans-torch\"\u003etrans-torch\u003c/a\u003e \u003ca href=\"https://github.com/e-lab/th2caffe\"\u003eth2caffe\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/ca1773130n/Torch2Caffe2\"\u003eTorch2Caffe2\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/clcarwin/convert_torch_to_pytorch\"\u003econvert_torch_to_pytorch\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e-\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/prisma-ai/torch2coreml\"\u003etorch2coreml\u003c/a\u003e \u003ca href=\"https://github.com/woffle/torch2ios\"\u003etorch2ios\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e\u003ca href=\"https://github.com/fchollet/deep-learning-models\"\u003ekeras\u003c/a\u003e\u003c/strong\u003e ✨\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/AlexPasqua/keras-caffe-converter\"\u003ekeras-caffe-converter\u003c/a\u003e \u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e \u003ca href=\"https://github.com/hahnyuan/nn_tools\"\u003enn_tools\u003c/a\u003e \u003ca href=\"https://github.com/uhfband/keras2caffe\"\u003ekeras2caffe\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn (through ONNX)\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e \u003ca href=\"https://github.com/gzuidhof/nn-transfer\"\u003enn-transfer\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e-\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/hahnyuan/nn_tools\"\u003enn_tools\u003c/a\u003e \u003ca href=\"https://github.com/goranrauker/convert-to-tensorflow\"\u003econvert-to-tensorflow\u003c/a\u003e \u003ca href=\"https://github.com/alanswx/keras_to_tensorflow\"\u003ekeras_to_tensorflow\u003c/a\u003e \u003ca href=\"https://github.com/amir-abdi/keras_to_tensorflow\"\u003ekeras_to_tensorflow\u003c/a\u003e \u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://apple.github.io/coremltools/\" rel=\"nofollow\"\u003eapple/coremltools\u003c/a\u003e ✨ \u003ca href=\"https://github.com/triagemd/model-converters\"\u003emodel-converters\u003c/a\u003e \u003ca href=\"https://github.com/Bulochkin/keras_models\"\u003ekeras_models\u003c/a\u003e \u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e\u003ca href=\"https://pjreddie.com/darknet/imagenet/\" rel=\"nofollow\"\u003edarknet\u003c/a\u003e\u003c/strong\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/marvis/pytorch-caffe-darknet-convert\"\u003epytorch-caffe-darknet-convert\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/marvis/pytorch-caffe-darknet-convert\"\u003epytorch-caffe-darknet-convert\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e - \u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/jinyu121/DW2TF\"\u003eDW2TF\u003c/a\u003e \u003ca href=\"https://github.com/thtrieu/darkflow\"\u003edarkflow\u003c/a\u003e \u003ca href=\"https://github.com/dEcmir/lego_yolo\"\u003elego_yolo\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e\u003ca href=\"https://github.com/tensorflow/models\"\u003etensorflow\u003c/a\u003e\u003c/strong\u003e ✨\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e \u003ca href=\"https://github.com/hahnyuan/nn_tools\"\u003enn_tools\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn (through ONNX)\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/CNTK/tree/master/bindings/python/cntk/contrib/crosstalk\"\u003ecrosstalk\u003c/a\u003e \u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/leonidk/pytorch-tf\"\u003epytorch-tf\u003c/a\u003e \u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/triagemd/model-converters\"\u003emodel-converters\u003c/a\u003e \u003ca href=\"https://github.com/hahnyuan/nn_tools\"\u003enn_tools\u003c/a\u003e \u003ca href=\"https://github.com/goranrauker/convert-to-tensorflow\"\u003econvert-to-tensorflow\u003c/a\u003e \u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e-\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/tf-coreml/tf-coreml\"\u003etfcoreml\u003c/a\u003e \u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/PaddlePaddle/X2Paddle\"\u003eX2Paddle\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e\u003ca href=\"http://docs.chainer.org/en/stable/reference/caffe.html\" rel=\"nofollow\"\u003echainer\u003c/a\u003e\u003c/strong\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/vzhong/chainer2pytorch\"\u003echainer2pytorch\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e-\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e\u003ca href=\"https://developer.apple.com/documentation/coreml\" rel=\"nofollow\"\u003ecoreML/iOS\u003c/a\u003e\u003c/strong\u003e ✨\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn (through ONNX)\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e-\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"http://paddlepaddle.org/\" rel=\"nofollow\"\u003epaddle\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e-\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003e\u003ca href=\"https://github.com/onnx/onnx\"\u003eONNX\u003c/a\u003e\u003c/strong\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/inisis/onnx2torch\"\u003eonnx2torch\u003c/a\u003e \u003ca href=\"https://github.com/ENOT-AutoDL/onnx2torch\"\u003eonnx2torch\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003eNone\u003c/td\u003e\n\u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/PaddlePaddle/X2Paddle\"\u003eX2Paddle\u003c/a\u003e\u003c/td\u003e\n\u003ctd align=\"center\"\u003e-\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/markdown-accessiblity-table\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch1 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eBrief Intro of Convertors\u003c/h1\u003e\u003ca id=\"user-content-brief-intro-of-convertors\" class=\"anchor\" aria-label=\"Permalink: Brief Intro of Convertors\" href=\"#brief-intro-of-convertors\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eOpen Neural Network Exchange\u003c/h2\u003e\u003ca id=\"user-content-open-neural-network-exchange\" class=\"anchor\" aria-label=\"Permalink: Open Neural Network Exchange\" href=\"#open-neural-network-exchange\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eGeneral framework for converting between all kinds of neural networks\u003c/strong\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://github.com/onnx\"\u003eONNX\u003c/a\u003e is an effort to unify converters for neural networks in order to bring some sanity to the NN world. Released by Facebook and Microsoft.\nMore info \u003ca href=\"http://onnx.ai\" rel=\"nofollow\"\u003ehere\u003c/a\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eMMdnn\u003c/h2\u003e\u003ca id=\"user-content-mmdnn\" class=\"anchor\" aria-label=\"Permalink: MMdnn\" href=\"#mmdnn\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://github.com/Microsoft/MMdnn\"\u003eMMdnn\u003c/a\u003e is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between CaffeEmit, CNTK, CoreML, Keras, MXNet, ONNX, PyTorch and TensorFlow.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https://github.com/Microsoft/MMdnn/blob/master/docs/supported.jpg\"\u003e\u003cimg src=\"https://github.com/Microsoft/MMdnn/raw/master/docs/supported.jpg\" width=\"400\" height=\"400\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eMXNet convertor\u003c/h2\u003e\u003ca id=\"user-content-mxnet-convertor\" class=\"anchor\" aria-label=\"Permalink: MXNet convertor\" href=\"#mxnet-convertor\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eConvert to MXNet model\u003c/strong\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/mdering/CoreMLZoo\"\u003emdering/CoreMLZoo: A few models converted from caffe to CoreMLs format\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-mderingcoremlzoo-a-few-models-converted-from-caffe-to-coremls-format\" class=\"anchor\" aria-label=\"Permalink: mdering/CoreMLZoo: A few models converted from caffe to CoreMLs format\" href=\"#mderingcoremlzoo-a-few-models-converted-from-caffe-to-coremls-format\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eA few deep learning models converted from various formats to CoreMLs format.\nModels currently available:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eSqueezeNet\u003c/li\u003e\n\u003cli\u003eVGG19\nPlease feel free to create a pull request with additional models.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/dmlc/mxnet/tree/master/tools/caffe_converter\"\u003emxnet/tools/caffe_converter\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-mxnettoolscaffe_converter\" class=\"anchor\" aria-label=\"Permalink: mxnet/tools/caffe_converter\" href=\"#mxnettoolscaffe_converter\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eKey topics covered include the following:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eConverting Caffe trained models to MXNet\u003c/li\u003e\n\u003cli\u003eCalling Caffe operators in MXNet\nMore concretly, please refer to \u003ca href=\"https://github.com/dmlc/mxnet/tree/master/tools/caffe_converter\"\u003emxnet/tools/caffe_converter\u003c/a\u003e and \u003ca href=\"https://github.com/dmlc/mxnet/blob/master/docs/how_to/caffe.md\"\u003eHow to | Convert from Caffe to MXNet\u003c/a\u003e.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/nicklhy/ResNet_caffe2mxnet\"\u003enicklhy/ResNet_caffe2mxnet\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-nicklhyresnet_caffe2mxnet\" class=\"anchor\" aria-label=\"Permalink: nicklhy/ResNet_caffe2mxnet\" href=\"#nicklhyresnet_caffe2mxnet\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThis is a tool to convert the deep-residual-networks from caffe model to mxnet model. The weights are directly copied from caffe network blobs.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eCaffe convertor\u003c/h2\u003e\u003ca id=\"user-content-caffe-convertor\" class=\"anchor\" aria-label=\"Permalink: Caffe convertor\" href=\"#caffe-convertor\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eConvert to Caffe model\u003c/strong\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/AlexPasqua/keras-caffe-converter\"\u003ekeras-caffe-converter\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-keras-caffe-converter\" class=\"anchor\" aria-label=\"Permalink: keras-caffe-converter\" href=\"#keras-caffe-converter\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eIt is a converter between Keras and Caffe in both ways. It works using only the Keras model to generate both the caffemodel and prototxt files, but it is also possible to pass it the prototxt file with the description of the model if you have it.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/inisis/brocolli\"\u003ebrocolli\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-brocolli\" class=\"anchor\" aria-label=\"Permalink: brocolli\" href=\"#brocolli\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eSupport 1.9.0 or higher Pytorch\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/longcw/pytorch2caffe\"\u003epytorch2caffe\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-pytorch2caffe\" class=\"anchor\" aria-label=\"Permalink: pytorch2caffe\" href=\"#pytorch2caffe\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eConvert PyTorch model to Caffemodel.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/cypw/MXNet2Caffe\"\u003ecypw/MXNet2Caffe\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-cypwmxnet2caffe\" class=\"anchor\" aria-label=\"Permalink: cypw/MXNet2Caffe\" href=\"#cypwmxnet2caffe\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eConvert MXNet model to Caffe model.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/wranglerwong/Mxnet2Caffe\"\u003ewranglerwong/Mxnet2Caffe: Convert MXNet model to Caffe model\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-wranglerwongmxnet2caffe-convert-mxnet-model-to-caffe-model\" class=\"anchor\" aria-label=\"Permalink: wranglerwong/Mxnet2Caffe: Convert MXNet model to Caffe model\" href=\"#wranglerwongmxnet2caffe-convert-mxnet-model-to-caffe-model\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eConvert MXNet model to Caffe model.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/kuangliu/mocha\"\u003ekuangliu/mocha\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-kuangliumocha\" class=\"anchor\" aria-label=\"Permalink: kuangliu/mocha\" href=\"#kuangliumocha\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eConvert torch model to/from caffe model easily.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/uhfband/keras2caffe\"\u003euhfband/keras2caffe: Keras to Caffe model converter tool\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-uhfbandkeras2caffe-keras-to-caffe-model-converter-tool\" class=\"anchor\" aria-label=\"Permalink: uhfband/keras2caffe: Keras to Caffe model converter tool\" href=\"#uhfbandkeras2caffe-keras-to-caffe-model-converter-tool\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThis tool tested with Caffe 1.0, Keras 2.1.2 and TensorFlow 1.4.0\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eWorking conversion examples:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eInception V3\u003c/li\u003e\n\u003cli\u003eInception V4 (\u003ca href=\"https://github.com/kentsommer/keras-inceptionV4\"\u003ehttps://github.com/kentsommer/keras-inceptionV4\u003c/a\u003e)\u003c/li\u003e\n\u003cli\u003eXception V1\u003c/li\u003e\n\u003cli\u003eSqueezeNet (\u003ca href=\"https://github.com/rcmalli/keras-squeezenet\"\u003ehttps://github.com/rcmalli/keras-squeezenet\u003c/a\u003e)\u003c/li\u003e\n\u003cli\u003eVGG16\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eProblem layers:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eZeroPadding2D\u003c/li\u003e\n\u003cli\u003eMaxPooling2D and AveragePooling2D with asymmetric padding\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/facebook/fb-caffe-exts#torch2caffe\"\u003efacebook/fb-caffe-exts/torch2caffe\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-facebookfb-caffe-extstorch2caffe\" class=\"anchor\" aria-label=\"Permalink: facebook/fb-caffe-exts/torch2caffe\" href=\"#facebookfb-caffe-extstorch2caffe\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eSome handy utility libraries and tools for the Caffe deep learning framework, which has ** A library for converting pre-trained Torch models to the equivalent Caffe models.**\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/marvis/pytorch-caffe-darknet-convert\"\u003epytorch-caffe-darknet-convert\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-pytorch-caffe-darknet-convert\" class=\"anchor\" aria-label=\"Permalink: pytorch-caffe-darknet-convert\" href=\"#pytorch-caffe-darknet-convert\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eConvert between pytorch, caffe and darknet models. Caffe darknet models can be load directly by pytorch.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/Teaonly/trans-torch\"\u003eTeaonly/trans-torch\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-teaonlytrans-torch\" class=\"anchor\" aria-label=\"Permalink: Teaonly/trans-torch\" href=\"#teaonlytrans-torch\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eTranslating Torch model to other framework such as Caffe, MxNet ...\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/e-lab/th2caffe\"\u003ee-lab/th2caffe\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-e-labth2caffe\" class=\"anchor\" aria-label=\"Permalink: e-lab/th2caffe\" href=\"#e-labth2caffe\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eA torch-nn to caffe converter for specific layers.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/hahnyuan/nn_tools\"\u003ehahnyuan/nn_tools\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-hahnyuannn_tools\" class=\"anchor\" aria-label=\"Permalink: hahnyuan/nn_tools\" href=\"#hahnyuannn_tools\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003ea neural network convertor for models among caffe tensorflow keras\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/xxradon/PytorchToCaffe\"\u003exxradon/PytorchToCaffe: Pytorch model to caffe model, supported pytorch 0.3, 0.3.1, 0.4, 0.4.1 ,1.0 , 1.0.1 , 1.2 ,1.3 .notice that only pytorch 1.1 have some bugs\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-xxradonpytorchtocaffe-pytorch-model-to-caffe-model-supported-pytorch-03-031-04-041-10--101--12-13-notice-that-only-pytorch-11-have-some-bugs\" class=\"anchor\" aria-label=\"Permalink: xxradon/PytorchToCaffe: Pytorch model to caffe model, supported pytorch 0.3, 0.3.1, 0.4, 0.4.1 ,1.0 , 1.0.1 , 1.2 ,1.3 .notice that only pytorch 1.1 have some bugs\" href=\"#xxradonpytorchtocaffe-pytorch-model-to-caffe-model-supported-pytorch-03-031-04-041-10--101--12-13-notice-that-only-pytorch-11-have-some-bugs\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eProviding a tool for neural network frameworks for pytorch and caffe.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eThe nn_tools is released under the MIT License (refer to the LICENSE file for details).\u003c/p\u003e\n\u003cp dir=\"auto\"\u003efeatures:\u003c/p\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003eConverting a pytorch model to caffe model.\u003c/li\u003e\n\u003cli\u003eSome convenient tools of manipulate caffemodel and prototxt quickly(like get or set weights of layers).\u003c/li\u003e\n\u003cli\u003eSupport pytorch version \u0026gt;= 0.2.(Have tested on 0.3,0.3.1, 0.4, 0.4.1 ,1.0, 1.2)\u003c/li\u003e\n\u003cli\u003eAnalysing a model, get the operations number(ops) in every layers.\u003cbr\u003e\nNoting: pytorch version 1.1 is not supported now\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp dir=\"auto\"\u003erequirements\u003c/p\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003ePython2.7 or Python3.x\u003c/li\u003e\n\u003cli\u003eEach functions in this tools requires corresponding neural network python package (pytorch and so on).\u003c/li\u003e\n\u003c/ol\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eCaffe2 convertor\u003c/h2\u003e\u003ca id=\"user-content-caffe2-convertor\" class=\"anchor\" aria-label=\"Permalink: Caffe2 convertor\" href=\"#caffe2-convertor\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eConvert to Caffe2 model\u003c/strong\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://caffe2.ai/docs/caffe-migration.html#caffe-to-caffe2\" rel=\"nofollow\"\u003eCaffeToCaffe2\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-caffetocaffe2\" class=\"anchor\" aria-label=\"Permalink: CaffeToCaffe2\" href=\"#caffetocaffe2\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThis is an official convertor, which not only provoide a script also an ipython notebook as below:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/caffe2/caffe2/blob/master/caffe2/python/tutorials/Getting_Caffe1_Models_for_Translation.ipynb\"\u003ecaffe2/Getting_Caffe1_Models_for_Translation.ipynb at master · caffe2/caffe2\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/caffe2/caffe2/blob/master/caffe2/python/caffe_translator.py\"\u003ecaffe2/caffe_translator.py at master · caffe2/caffe2\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/onnx/onnx-caffe2\"\u003eonnx-caffe2\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-onnx-caffe2\" class=\"anchor\" aria-label=\"Permalink: onnx-caffe2\" href=\"#onnx-caffe2\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eConvert PyTorch to Caffe2 (making it especially easy to deploy on mobile devices)\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eCNTK convertor\u003c/h2\u003e\u003ca id=\"user-content-cntk-convertor\" class=\"anchor\" aria-label=\"Permalink: CNTK convertor\" href=\"#cntk-convertor\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eConvert to CNTK model\u003c/strong\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/Microsoft/CNTK/tree/master/bindings/python/cntk/contrib/crosstalkcaffe\"\u003ecrosstalkcaffe/CaffeConverter\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-crosstalkcaffecaffeconverter\" class=\"anchor\" aria-label=\"Permalink: crosstalkcaffe/CaffeConverter\" href=\"#crosstalkcaffecaffeconverter\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThe tool will help you convert trained models from Caffe to CNTK.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eConvert trained models: giving a model script and its weights file, export to CNTK model.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/Microsoft/CNTK/tree/master/bindings/python/cntk/contrib/crosstalk\"\u003ecrosstalk\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-crosstalk\" class=\"anchor\" aria-label=\"Permalink: crosstalk\" href=\"#crosstalk\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003ecrosstalk is from CNTK contrib.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eTheano/Lasagne convertor\u003c/h2\u003e\u003ca id=\"user-content-theanolasagne-convertor\" class=\"anchor\" aria-label=\"Permalink: Theano/Lasagne convertor\" href=\"#theanolasagne-convertor\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eConvert to Theano/Lasagne model\u003c/strong\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/an-kumar/caffe-theano-conversion\"\u003ean-kumar/caffe-theano-conversion\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-an-kumarcaffe-theano-conversion\" class=\"anchor\" aria-label=\"Permalink: an-kumar/caffe-theano-conversion\" href=\"#an-kumarcaffe-theano-conversion\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThis is part of a project for CS231N at Stanford University, written by Ankit Kumar, Mathematics major, Class of 2015\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eThis is a repository that allows you to convert pretrained caffe models into models in Lasagne, a thin wrapper around Theano. You can also convert a caffe model's architecture to an equivalent one in Lasagne. You do not need caffe installed to use this module.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eCurrently, the following caffe layers are supported:\u003c/p\u003e\n\u003cdiv class=\"snippet-clipboard-content notranslate position-relative overflow-auto\" data-snippet-clipboard-copy-content=\"* Convolution\n* LRN\n* Pooling\n* Inner Product\n* Relu\n* Softmax\"\u003e\u003cpre class=\"notranslate\"\u003e\u003ccode\u003e* Convolution\n* LRN\n* Pooling\n* Inner Product\n* Relu\n* Softmax\n\u003c/code\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/kencoken/caffe-model-convert\"\u003ekencoken/caffe-model-convert\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-kencokencaffe-model-convert\" class=\"anchor\" aria-label=\"Permalink: kencoken/caffe-model-convert\" href=\"#kencokencaffe-model-convert\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eConvert models from Caffe to Theano format.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/piergiaj/caffe-to-theano\"\u003epiergiaj/caffe-to-theano\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-piergiajcaffe-to-theano\" class=\"anchor\" aria-label=\"Permalink: piergiaj/caffe-to-theano\" href=\"#piergiajcaffe-to-theano\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eConvert a Caffe Model to a Theano Model. This currently works on AlexNet, but should work for any Caffe model that only includes layers that have been impemented.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eNeon convertor \u003c/h2\u003e\u003ca id=\"user-content-neon-convertor-\" class=\"anchor\" aria-label=\"Permalink: Neon convertor \" href=\"#neon-convertor-\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eConvert to Neon model\u003c/strong\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/NervanaSystems/caffe2neon\"\u003eNervanaSystems/caffe2neon\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-nervanasystemscaffe2neon\" class=\"anchor\" aria-label=\"Permalink: NervanaSystems/caffe2neon\" href=\"#nervanasystemscaffe2neon\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eTools to convert Caffe models to neon's serialization format.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eThis repo contains tools to convert Caffe models into a format compatible with the \u003ca href=\"https://github.com/NervanaSystems/caffe2neon\"\u003eneon deep learning library\u003c/a\u003e. The main script, \"decaffeinate.py\", takes as input a caffe model definition file and the corresponding model weights file and returns a neon serialized model file. This output file can be used to instantiate the neon Model object, which will generate a model in neon that should replicate the behavior of the Caffe model.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003ePyTorch convertor \u003c/h2\u003e\u003ca id=\"user-content-pytorch-convertor-\" class=\"anchor\" aria-label=\"Permalink: PyTorch convertor \" href=\"#pytorch-convertor-\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eConvert to PyTorch model\u003c/strong\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/nerox8664/gluon2pytorch\"\u003enerox8664/gluon2pytorch\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-nerox8664gluon2pytorch\" class=\"anchor\" aria-label=\"Permalink: nerox8664/gluon2pytorch\" href=\"#nerox8664gluon2pytorch\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eConvert mxnet / gluon graph to PyTorch source + weights.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/ruotianluo/pytorch-resnet\"\u003eruotianluo/pytorch-resnet\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-ruotianluopytorch-resnet\" class=\"anchor\" aria-label=\"Permalink: ruotianluo/pytorch-resnet\" href=\"#ruotianluopytorch-resnet\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eConvert resnet trained in caffe to pytorch model.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/clcarwin/convert_torch_to_pytorch\"\u003eclcarwin/convert_torch_to_pytorch\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-clcarwinconvert_torch_to_pytorch\" class=\"anchor\" aria-label=\"Permalink: clcarwin/convert_torch_to_pytorch\" href=\"#clcarwinconvert_torch_to_pytorch\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eConvert torch t7 model to pytorch model and source.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/vzhong/chainer2pytorch\"\u003evzhong/chainer2pytorch\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-vzhongchainer2pytorch\" class=\"anchor\" aria-label=\"Permalink: vzhong/chainer2pytorch\" href=\"#vzhongchainer2pytorch\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003ccode\u003echainer2pytorch\u003c/code\u003e implements conversions from Chainer modules to PyTorch modules, setting parameters of each modules such that one can port over models on a module basis.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/marvis/pytorch-caffe\"\u003epytorch-caffe\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-pytorch-caffe\" class=\"anchor\" aria-label=\"Permalink: pytorch-caffe\" href=\"#pytorch-caffe\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eLoad caffe prototxt and weights directly in pytorch without explicitly converting model from caffe to pytorch.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/gzuidhof/nn-transfer\"\u003enn-transfer\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-nn-transfer\" class=\"anchor\" aria-label=\"Permalink: nn-transfer\" href=\"#nn-transfer\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eConvert between Keras and PyTorch models.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eTorch convertor \u003c/h2\u003e\u003ca id=\"user-content-torch-convertor-\" class=\"anchor\" aria-label=\"Permalink: Torch convertor \" href=\"#torch-convertor-\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eConvert to Torch model\u003c/strong\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/kmatzen/googlenet-caffe2torch\"\u003ekmatzen/googlenet-caffe2torch\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-kmatzengooglenet-caffe2torch\" class=\"anchor\" aria-label=\"Permalink: kmatzen/googlenet-caffe2torch\" href=\"#kmatzengooglenet-caffe2torch\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eConverts bvlc_googlenet.caffemodel to a Torch nn model.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eWant to use the pre-trained GoogLeNet from the BVLC Model Zoo in Torch? Do you not want to use Caffe as an additional dependency inside Torch? Use these two scripts to build the network definition in Torch and copy the learned weights from the Caffe model.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/kuangliu/mocha\"\u003ekuangliu/mocha\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-kuangliumocha-1\" class=\"anchor\" aria-label=\"Permalink: kuangliu/mocha\" href=\"#kuangliumocha-1\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eConvert torch model to/from caffe model easily.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/szagoruyko/loadcaffe\"\u003eszagoruyko/loadcaffe\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-szagoruykoloadcaffe\" class=\"anchor\" aria-label=\"Permalink: szagoruyko/loadcaffe\" href=\"#szagoruykoloadcaffe\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eConvert caffe model to a Torch nn.Sequential model.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eKeras convertor \u003c/h2\u003e\u003ca id=\"user-content-keras-convertor-\" class=\"anchor\" aria-label=\"Permalink: Keras convertor \" href=\"#keras-convertor-\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eConvert to Keras model\u003c/strong\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/AlexPasqua/keras-caffe-converter\"\u003eAlexPasqua/keras-caffe-converter\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-alexpasquakeras-caffe-converter\" class=\"anchor\" aria-label=\"Permalink: AlexPasqua/keras-caffe-converter\" href=\"#alexpasquakeras-caffe-converter\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eIt is a both-ways converter between Keras and Caffe. It takes the weights from the \u003ccode\u003e.caffemodel\u003c/code\u003e using \u003ca href=\"https://github.com/AlexPasqua/caffe_weight_converter\"\u003ecaffe_weight_converter\u003c/a\u003e and generates an equivalent Keras model. It also outputs the Python source code used to generate that Keras model.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/AlexPasqua/caffe_weight_converter\"\u003eAlexPasqua/caffe_weight_converter\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-alexpasquacaffe_weight_converter\" class=\"anchor\" aria-label=\"Permalink: AlexPasqua/caffe_weight_converter\" href=\"#alexpasquacaffe_weight_converter\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThis project is used as a part of the previous one on this list: \u003ca href=\"https://github.com/AlexPasqua/keras-caffe-converter\"\u003eAlexPasqua/keras-caffe-converter\u003c/a\u003e, which is more complete, documented and easy to use. I'd recommend using that one instead.\u003cbr\u003e\nThis is a Caffe-to-Keras weight converter, i.e. it converts \u003ccode\u003e.caffemodel\u003c/code\u003e weight files to Keras-2-compatible HDF5 weight files. It can also export \u003ccode\u003e.caffemodel\u003c/code\u003e weights as Numpy arrays for further processing.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eThis converter converts the weights of a model only (not the model definition), which has the great advantage that it doesn't break every time it encounters an unknown layer type like other converters to that try to translate the model definition as well. The downside, of course, is that you'll have to write the model definition yourself.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eThe repository also provides converted weights for some popular models.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/qxcv/caffe2keras\"\u003eqxcv/caffe2keras\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-qxcvcaffe2keras\" class=\"anchor\" aria-label=\"Permalink: qxcv/caffe2keras\" href=\"#qxcvcaffe2keras\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eNote: This converter has been adapted from code in \u003ca href=\"https://github.com/MarcBS/keras\"\u003eMarc Bolaños fork of Caffe\u003c/a\u003e. See acks for code provenance.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eThis is intended to serve as a conversion module for Caffe models to Keras models.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003ePlease, be aware that this module is not regularly maintained. Thus, some layers or parameter definitions introduced in newer versions of either Keras or Caffe might not be compatible with the converter. Pull requests welcome!\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/hahnyuan/nn_tools\"\u003ehahnyuan/nn_tools\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-hahnyuannn_tools-1\" class=\"anchor\" aria-label=\"Permalink: hahnyuan/nn_tools\" href=\"#hahnyuannn_tools-1\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003ea neural network convertor for models among caffe tensorflow keras\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/MarcBS/keras\"\u003eMarcBS/keras\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-marcbskeras\" class=\"anchor\" aria-label=\"Permalink: MarcBS/keras\" href=\"#marcbskeras\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eKeras' fork with several new functionalities. Caffe2Keras converter, multimodal layers, etc. \u003ca href=\"https://github.com/MarcBS/keras\"\u003ehttps://github.com/MarcBS/keras\u003c/a\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eThis fork of Keras offers the following contributions:\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eCaffe to Keras conversion module\nLayer-specific learning rates\nNew layers for multimodal data\nContact email: \u003ca href=\"mailto:marc.bolanos@ub.edu\"\u003emarc.bolanos@ub.edu\u003c/a\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eGitHub page: \u003ca href=\"https://github.com/MarcBS\"\u003ehttps://github.com/MarcBS\u003c/a\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eMarcBS/keras is compatible with: Python 2.7 and Theano only.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/OdinLin/caffe2keras\"\u003eOdinLin/caffe2keras\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-odinlincaffe2keras\" class=\"anchor\" aria-label=\"Permalink: OdinLin/caffe2keras\" href=\"#odinlincaffe2keras\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003ea simple tool to translate caffe model to keras model.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/jamescfli/Deep_Learning_Model_Converter\"\u003ejamescfli/Deep_Learning_Model_Converter\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-jamescflideep_learning_model_converter\" class=\"anchor\" aria-label=\"Permalink: jamescfli/Deep_Learning_Model_Converter\" href=\"#jamescflideep_learning_model_converter\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/gzuidhof/nn-transfer\"\u003enn-transfer\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-nn-transfer-1\" class=\"anchor\" aria-label=\"Permalink: nn-transfer\" href=\"#nn-transfer-1\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eConvert between Keras and PyTorch models.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/nerox8664/pytorch2keras\"\u003epytorch2keras\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-pytorch2keras\" class=\"anchor\" aria-label=\"Permalink: pytorch2keras\" href=\"#pytorch2keras\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eConvert pytorch models to Keras.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eDarknet convertor \u003c/h2\u003e\u003ca id=\"user-content-darknet-convertor-\" class=\"anchor\" aria-label=\"Permalink: Darknet convertor \" href=\"#darknet-convertor-\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eConvert to Darknet model\u003c/strong\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/marvis/pytorch-caffe-darknet-convert\"\u003epytorch-caffe-darknet-convert\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-pytorch-caffe-darknet-convert-1\" class=\"anchor\" aria-label=\"Permalink: pytorch-caffe-darknet-convert\" href=\"#pytorch-caffe-darknet-convert-1\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eConvert between pytorch, caffe and darknet models. Caffe darknet models can be load directly by pytorch.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"/ysh329/deep-learning-model-convertor/blob/master\"\u003e\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"\" class=\"anchor\" aria-label=\"Permalink: \" href=\"#\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"/ysh329/deep-learning-model-convertor/blob/master\"\u003e\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content--1\" class=\"anchor\" aria-label=\"Permalink: \" href=\"#-1\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eTensorFlow convertor \u003c/h2\u003e\u003ca id=\"user-content-tensorflow-convertor-\" class=\"anchor\" aria-label=\"Permalink: TensorFlow convertor \" href=\"#tensorflow-convertor-\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eConvert to TensorFlow model\u003c/strong\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/Microsoft/CNTK/tree/master/bindings/python/cntk/contrib/crosstalk\"\u003ecrosstalk\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-crosstalk-1\" class=\"anchor\" aria-label=\"Permalink: crosstalk\" href=\"#crosstalk-1\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003ecrosstalk is from CNTK.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/triagemd/model-converters\"\u003etriagemd/model-converters: Tools for converting Keras models for use with other ML frameworks\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-triagemdmodel-converters-tools-for-converting-keras-models-for-use-with-other-ml-frameworks\" class=\"anchor\" aria-label=\"Permalink: triagemd/model-converters: Tools for converting Keras models for use with other ML frameworks\" href=\"#triagemdmodel-converters-tools-for-converting-keras-models-for-use-with-other-ml-frameworks\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eTools for converting Keras models for use with other ML frameworks (coreML, TensorFlow).\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/hahnyuan/nn_tools\"\u003ehahnyuan/nn_tools\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-hahnyuannn_tools-2\" class=\"anchor\" aria-label=\"Permalink: hahnyuan/nn_tools\" href=\"#hahnyuannn_tools-2\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003ea neural network convertor for models among caffe tensorflow keras\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/ethereon/caffe-tensorflow\"\u003eethereon/caffe-tensorflow: Caffe models in TensorFlow\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-ethereoncaffe-tensorflow-caffe-models-in-tensorflow\" class=\"anchor\" aria-label=\"Permalink: ethereon/caffe-tensorflow: Caffe models in TensorFlow\" href=\"#ethereoncaffe-tensorflow-caffe-models-in-tensorflow\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eConvert Caffe models to TensorFlow.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/goranrauker/convert-to-tensorflow\"\u003egoranrauker/convert-to-tensorflow\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-goranraukerconvert-to-tensorflow\" class=\"anchor\" aria-label=\"Permalink: goranrauker/convert-to-tensorflow\" href=\"#goranraukerconvert-to-tensorflow\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eConverts a variety of trained models to a frozen tensorflow protocol buffer file for use with the c++ tensorflow api. C++ code is included for using the frozen models.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/thtrieu/darkflow\"\u003ethtrieu/darkflow\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-thtrieudarkflow\" class=\"anchor\" aria-label=\"Permalink: thtrieu/darkflow\" href=\"#thtrieudarkflow\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eTranslate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/dEcmir/lego_yolo\"\u003edEcmir/lego_yolo\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-decmirlego_yolo\" class=\"anchor\" aria-label=\"Permalink: dEcmir/lego_yolo\" href=\"#decmirlego_yolo\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eTensorflow code to to retrain yolo on a new dataset using weights from darknet\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eThis repository contains experiments of transfer learning using YOLO on a new synthetical LEGO data set ROUGH AND UNDOCUMENTED!\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/alanswx/keras_to_tensorflow\"\u003ealanswx/keras_to_tensorflow\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-alanswxkeras_to_tensorflow\" class=\"anchor\" aria-label=\"Permalink: alanswx/keras_to_tensorflow\" href=\"#alanswxkeras_to_tensorflow\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eConvert keras models to tensorflow frozen graph for use on cell phones, etc.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/amir-abdi/keras_to_tensorflow\"\u003eamir-abdi/keras_to_tensorflow\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-amir-abdikeras_to_tensorflow\" class=\"anchor\" aria-label=\"Permalink: amir-abdi/keras_to_tensorflow\" href=\"#amir-abdikeras_to_tensorflow\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eGeneral code to convert a trained keras model into an inference tensorflow model.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/leonidk/pytorch-tf\"\u003eleonidk/pytorch-tf\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-leonidkpytorch-tf\" class=\"anchor\" aria-label=\"Permalink: leonidk/pytorch-tf\" href=\"#leonidkpytorch-tf\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eConverting a pretrained pytorch model to tensorflow\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/nerox8664/pytorch2keras\"\u003epytorch2keras\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-pytorch2keras-1\" class=\"anchor\" aria-label=\"Permalink: pytorch2keras\" href=\"#pytorch2keras-1\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eConvert pytorch models to Tensorflow (via Keras)\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/jinyu121/DW2TF\"\u003ejinyu121/DW2TF: Darknet Weights to TensorFlow\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-jinyu121dw2tf-darknet-weights-to-tensorflow\" class=\"anchor\" aria-label=\"Permalink: jinyu121/DW2TF: Darknet Weights to TensorFlow\" href=\"#jinyu121dw2tf-darknet-weights-to-tensorflow\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThis is a simple convector which converts Darknet weights file (.weights) to Tensorflow weights file (.ckpt).\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/leonidk/pytorch-tf\"\u003eleonidk/pytorch-tf\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-leonidkpytorch-tf-1\" class=\"anchor\" aria-label=\"Permalink: leonidk/pytorch-tf\" href=\"#leonidkpytorch-tf-1\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eNo readme.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eChainer convertor \u003c/h2\u003e\u003ca id=\"user-content-chainer-convertor-\" class=\"anchor\" aria-label=\"Permalink: Chainer convertor \" href=\"#chainer-convertor-\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eConvert to Chainer model\u003c/strong\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003ecoreML convertor \u003c/h2\u003e\u003ca id=\"user-content-coreml-convertor-\" class=\"anchor\" aria-label=\"Permalink: coreML convertor \" href=\"#coreml-convertor-\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eConvert to coreML model\u003c/strong\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://developer.apple.com/documentation/coreml\" rel=\"nofollow\"\u003eApple: Converting Trained Models to Core ML\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-apple-converting-trained-models-to-core-ml\" class=\"anchor\" aria-label=\"Permalink: Apple: Converting Trained Models to Core ML\" href=\"#apple-converting-trained-models-to-core-ml\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eConvert trained models created with third-party machine learning tools to the Core ML model format.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eIf your model is created and trained using a supported third-party machine learning tool, you can use Core ML Tools to convert it to the Core ML model format. Table 1 lists the supported models and third-party tools.\u003c/p\u003e\n\u003cmarkdown-accessiblity-table\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth align=\"center\"\u003eModel type\u003c/th\u003e\n\u003cth align=\"center\"\u003eSupported models\u003c/th\u003e\n\u003cth align=\"center\"\u003eSupported tools\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd align=\"center\"\u003eNeural networks\u003c/td\u003e\n\u003ctd align=\"center\"\u003eFeedforward, convolutional, recurrent\u003c/td\u003e\n\u003ctd align=\"center\"\u003eCaffe v1 \u003cbr\u003eKeras 1.2.2+\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"center\"\u003eTree ensembles\u003c/td\u003e\n\u003ctd align=\"center\"\u003eRandom forests, boosted trees, decision trees\u003c/td\u003e\n\u003ctd align=\"center\"\u003escikit-learn 0.18 \u003cbr\u003eXGBoost 0.6\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"center\"\u003eSupport vector machines\u003c/td\u003e\n\u003ctd align=\"center\"\u003eScalar regression, multiclass classification\u003c/td\u003e\n\u003ctd align=\"center\"\u003escikit-learn 0.18\u003cbr\u003eLIBSVM 3.22\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"center\"\u003eGeneralized linear models\u003c/td\u003e\n\u003ctd align=\"center\"\u003eLinear regression, logistic regression\u003c/td\u003e\n\u003ctd align=\"center\"\u003escikit-learn 0.18\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"center\"\u003eFeature engineering\u003c/td\u003e\n\u003ctd align=\"center\"\u003eSparse vectorization, dense vectorization, categorical processing\u003c/td\u003e\n\u003ctd align=\"center\"\u003escikit-learn 0.18\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd align=\"center\"\u003ePipeline models\u003c/td\u003e\n\u003ctd align=\"center\"\u003eSequentially chained models\u003c/td\u003e\n\u003ctd align=\"center\"\u003escikit-learn 0.18\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/markdown-accessiblity-table\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/apache/incubator-mxnet/tree/master/tools/coreml\"\u003emxnet/tools/mxnet-to-coreml\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-mxnettoolsmxnet-to-coreml\" class=\"anchor\" aria-label=\"Permalink: mxnet/tools/mxnet-to-coreml\" href=\"#mxnettoolsmxnet-to-coreml\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eConvert MXNet models into Apple CoreML format.\nThis tool helps convert MXNet models into Apple CoreML format which can then be run on Apple devices.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/prisma-ai/torch2coreml\"\u003eprisma-ai/torch2coreml: Torch7 -\u0026gt; CoreML\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-prisma-aitorch2coreml-torch7---coreml\" class=\"anchor\" aria-label=\"Permalink: prisma-ai/torch2coreml: Torch7 -\u0026gt; CoreML\" href=\"#prisma-aitorch2coreml-torch7---coreml\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThis tool helps convert Torch7 models into Apple CoreML format which can then be run on Apple devices.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/woffle/torch2ios\"\u003ewoffle/torch2ios: Torch7 Library - Convert NN Models To iOS Format\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-woffletorch2ios-torch7-library---convert-nn-models-to-ios-format\" class=\"anchor\" aria-label=\"Permalink: woffle/torch2ios: Torch7 Library - Convert NN Models To iOS Format\" href=\"#woffletorch2ios-torch7-library---convert-nn-models-to-ios-format\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eTorch7 Library - Convert NN Models To iOS Format.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eSmall lib to serialise Torch7 Networks for iOS. Supported Layers include Fully Connected, Pooling and Convolution Layers at present. The library stores the weights \u0026amp; biases (if any) for each layer necesarry for inference on iOS devices.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/Bulochkin/keras_models\"\u003eBulochkin/keras_models: Keras models with python-based convertor to provide embedding in IOS platform\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-bulochkinkeras_models-keras-models-with-python-based-convertor-to-provide-embedding-in-ios-platform\" class=\"anchor\" aria-label=\"Permalink: Bulochkin/keras_models: Keras models with python-based convertor to provide embedding in IOS platform\" href=\"#bulochkinkeras_models-keras-models-with-python-based-convertor-to-provide-embedding-in-ios-platform\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eKeras models with python-based convertor to provide embedding in IOS platform.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/triagemd/model-converters\"\u003etriagemd/model-converters: Tools for converting Keras models for use with other ML frameworks\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-triagemdmodel-converters-tools-for-converting-keras-models-for-use-with-other-ml-frameworks-1\" class=\"anchor\" aria-label=\"Permalink: triagemd/model-converters: Tools for converting Keras models for use with other ML frameworks\" href=\"#triagemdmodel-converters-tools-for-converting-keras-models-for-use-with-other-ml-frameworks-1\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eTools for converting Keras models for use with other ML frameworks (coreML, TensorFlow).\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/tf-coreml/tf-coreml\"\u003eApple \u0026amp; Google: Tensorflow to CoreML converter\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-apple--google-tensorflow-to-coreml-converter\" class=\"anchor\" aria-label=\"Permalink: Apple \u0026amp; Google: Tensorflow to CoreML converter\" href=\"#apple--google-tensorflow-to-coreml-converter\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eGoogle collaborated with Apple to create a Tensorflow to CoreML converter \u003ca href=\"https://developers.googleblog.com/2017/12/announcing-core-ml-support.html\" rel=\"nofollow\"\u003eannouncement\u003c/a\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eSupport for Core ML is provided through a tool that takes a TensorFlow model and converts it to the Core ML Model Format (.mlmodel).\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003ePaddle convertor \u003c/h2\u003e\u003ca id=\"user-content-paddle-convertor-\" class=\"anchor\" aria-label=\"Permalink: Paddle convertor \" href=\"#paddle-convertor-\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eConvert to Paddle model\u003c/strong\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e\u003ca href=\"https://github.com/PaddlePaddle/X2Paddle\"\u003ePaddlePaddle/X2Paddle: X2Paddle is a toolkit for converting trained model to PaddlePaddle from other deep learning frameworks. 支持主流深度学习框架模型转换至PaddlePaddle『飞桨』\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content-paddlepaddlex2paddle-x2paddle-is-a-toolkit-for-converting-trained-model-to-paddlepaddle-from-other-deep-learning-frameworks-支持主流深度学习框架模型转换至paddlepaddle飞桨\" class=\"anchor\" aria-label=\"Permalink: PaddlePaddle/X2Paddle: X2Paddle is a toolkit for converting trained model to PaddlePaddle from other deep learning frameworks. 支持主流深度学习框架模型转换至PaddlePaddle『飞桨』\" href=\"#paddlepaddlex2paddle-x2paddle-is-a-toolkit-for-converting-trained-model-to-paddlepaddle-from-other-deep-learning-frameworks-支持主流深度学习框架模型转换至paddlepaddle飞桨\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eX2Paddle is a toolkit for converting trained model to PaddlePaddle from other deep learning frameworks.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eMore detailed models: \u003ca href=\"https://github.com/PaddlePaddle/X2Paddle/blob/develop/x2paddle_model_zoo.md\"\u003eX2Paddle/x2paddle_model_zoo.md at develop · PaddlePaddle/X2Paddle\u003c/a\u003e\u003c/p\u003e\n\u003c/article\u003e","loaded":true,"timedOut":false,"errorMessage":null,"headerInfo":{"toc":[{"level":1,"text":"Deep Learning Model Convertors","anchor":"deep-learning-model-convertors","htmlText":"Deep Learning Model Convertors"},{"level":1,"text":"Brief Intro of Convertors","anchor":"brief-intro-of-convertors","htmlText":"Brief Intro of Convertors"},{"level":2,"text":"Open Neural Network Exchange","anchor":"open-neural-network-exchange","htmlText":"Open Neural Network Exchange"},{"level":2,"text":"MMdnn","anchor":"mmdnn","htmlText":"MMdnn"},{"level":2,"text":"MXNet convertor","anchor":"mxnet-convertor","htmlText":"MXNet convertor"},{"level":3,"text":"mdering/CoreMLZoo: A few models 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0-1.5Zm0 5h8.5a.75.75 0 0 1 0 1.5h-8.5a.75.75 0 0 1 0-1.5Zm0 5h8.5a.75.75 0 0 1 0 1.5h-8.5a.75.75 0 0 1 0-1.5ZM2 14a1 1 0 1 1 0-2 1 1 0 0 1 0 2Zm1-6a1 1 0 1 1-2 0 1 1 0 0 1 2 0ZM2 4a1 1 0 1 1 0-2 1 1 0 0 1 0 2Z"></path></svg></button></div><div class="Box-sc-g0xbh4-0 QkQOb js-snippet-clipboard-copy-unpositioned undefined" data-hpc="true"><article class="markdown-body entry-content container-lg" itemprop="text"><p dir="auto">The project will be updated continuously ...... </p> <p dir="auto">Pull requests are welcome!</p> <div class="markdown-heading" dir="auto"><h1 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/ysh329/deep-learning-model-convertor">Deep Learning Model Convertors</a></h1><a id="user-content-deep-learning-model-convertors" class="anchor" aria-label="Permalink: Deep Learning Model Convertors" href="#deep-learning-model-convertors"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Note: <strong>This is not one convertor for all frameworks, but a collection of different converters.</strong> Because github is an open source platform, I hope we can help each other here, gather everyone's strength.</p> <p dir="auto">Because of these different frameworks, the awesome convertors of deep learning models for different frameworks occur. It should be noted that I did not test all the converters, so I could not guarantee that each was available. But I also hope this convertor collection may help you!</p> <p dir="auto">The sheet below is a overview of all convertors in github (not only contain official provided and more are user-self implementations). I just make a little work to collect these convertors. Also, hope everyone can support this project to help more people who're also crazy because of various frameworks.</p> <markdown-accessiblity-table><table> <thead> <tr> <th>convertor</th> <th align="center"><a href="http://data.dmlc.ml/models/" rel="nofollow">mxnet</a></th> <th align="center"><a href="https://github.com/BVLC/caffe/wiki/Model-Zoo">caffe</a> ✨</th> <th align="center"><a href="https://github.com/caffe2/caffe2/wiki/Model-Zoo">caffe2</a></th> <th align="center"><a href="https://www.microsoft.com/en-us/cognitive-toolkit/features/model-gallery/" rel="nofollow">CNTK</a></th> <th align="center"><a href="https://github.com/Theano/Theano/wiki/Related-projects">theano</a>/<a href="https://github.com/Lasagne/Recipes">lasagne</a></th> <th align="center"><a href="https://github.com/NervanaSystems/ModelZoo">neon</a></th> <th align="center"><a href="https://github.com/pytorch/vision">pytorch</a>✨</th> <th align="center"><a href="https://github.com/torch/torch7/wiki/ModelZoo">torch</a></th> <th align="center"><a href="https://github.com/fchollet/deep-learning-models">keras</a> ✨</th> <th align="center"><a href="https://pjreddie.com/darknet/imagenet/" rel="nofollow">darknet</a></th> <th align="center"><a href="https://github.com/tensorflow/models">tensorflow</a> ✨</th> <th align="center"><a href="http://docs.chainer.org/en/stable/reference/caffe.html" rel="nofollow">chainer</a></th> <th align="center"><a href="https://developer.apple.com/documentation/coreml" rel="nofollow">coreML/iOS</a> ✨</th> <th align="center"><a href="https://github.com/PaddlePaddle/models">paddle</a></th> <th align="center">ONNX</th> </tr> </thead> <tbody> <tr> <td><strong><a href="http://data.dmlc.ml/models/" rel="nofollow">mxnet</a></strong></td> <td align="center">-</td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn</a> <a href="https://github.com/cypw/MXNet2Caffe">MXNet2Caffe</a> <a href="https://github.com/wranglerwong/Mxnet2Caffe">Mxnet2Caffe</a></td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn (through ONNX)</a></td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center">None</td> <td align="center">None</td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn</a> <a href="https://github.com/nerox8664/gluon2pytorch">gluon2pytorch</a></td> <td align="center">None</td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center">None</td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center">None</td> <td align="center"><a href="https://github.com/apache/incubator-mxnet/tree/master/tools/coreml">mxnet-to-coreml</a> <a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center">None</td> <td align="center">None</td> </tr> <tr> <td><strong><a href="https://github.com/BVLC/caffe/wiki/Model-Zoo">caffe</a></strong> ✨</td> <td align="center"><a href="https://github.com/dmlc/mxnet/tree/master/tools/caffe_converter">mxnet/tools/caffe_converter</a> <a href="https://github.com/nicklhy/ResNet_caffe2mxnet">ResNet_caffe2mxnet</a> <a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center">-</td> <td align="center"><a href="https://caffe2.ai/docs/caffe-migration.html#caffe-to-caffe2" rel="nofollow">CaffeToCaffe2</a> <a href="https://github.com/Microsoft/MMdnn">MMdnn (through ONNX)</a></td> <td align="center"><a href="https://github.com/Microsoft/CNTK/tree/master/bindings/python/cntk/contrib/crosstalkcaffe">crosstalkcaffe/CaffeConverter</a> <a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center"><a href="https://github.com/an-kumar/caffe-theano-conversion">caffe_theano_conversion</a> <a href="https://github.com/kencoken/caffe-model-convert">caffe-model-convert</a> <a href="https://github.com/piergiaj/caffe-to-theano">caffe-to-theano</a></td> <td align="center"><a href="https://github.com/NervanaSystems/caffe2neon">caffe2neon</a></td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn</a> <a href="https://github.com/marvis/pytorch-caffe">pytorch-caffe</a> <a href="https://github.com/ruotianluo/pytorch-resnet">pytorch-resnet</a></td> <td align="center"><a href="https://github.com/kmatzen/googlenet-caffe2torch">googlenet-caffe2torch</a> <a href="https://github.com/kuangliu/mocha">mocha</a> <a href="https://github.com/szagoruyko/loadcaffe">loadcaffe</a></td> <td align="center"><a href="https://github.com/AlexPasqua/keras-caffe-converter">keras-caffe-converter</a> <a href="https://github.com/AlexPasqua/caffe_weight_converter">caffe_weight_converter</a> <a href="https://github.com/qxcv/caffe2keras">caffe2keras</a> <a href="https://github.com/hahnyuan/nn_tools">nn_tools</a> <a href="https://github.com/MarcBS/keras">keras</a> <a href="https://github.com/OdinLin/caffe2keras">caffe2keras</a> <a href="https://github.com/jamescfli/Deep_Learning_Model_Converter">Deep_Learning_Model_Converter</a> <a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center"><a href="https://github.com/marvis/pytorch-caffe-darknet-convert">pytorch-caffe-darknet-convert</a></td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn</a> <a href="https://github.com/hahnyuan/nn_tools">nn_tools</a> <a href="https://github.com/ethereon/caffe-tensorflow">caffe-tensorflow</a></td> <td align="center">None</td> <td align="center"><a href="https://github.com/mdering/CoreMLZoo">CoreMLZoo</a> <a href="https://apple.github.io/coremltools/" rel="nofollow">apple/coremltools</a> <a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center"><a href="https://github.com/PaddlePaddle/X2Paddle">X2Paddle</a></td> <td align="center"><a href="https://github.com/inisis/caffe2onnx">caffe2onnx</a></td> </tr> <tr> <td><strong><a href="https://github.com/caffe2/caffe2/wiki/Model-Zoo">caffe2</a></strong></td> <td align="center">None</td> <td align="center">None</td> <td align="center">-</td> <td align="center">ONNX</td> <td align="center">None</td> <td align="center">None</td> <td align="center">ONNX</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> </tr> <tr> <td><strong><a href="https://www.microsoft.com/en-us/cognitive-toolkit/features/model-gallery/" rel="nofollow">CNTK</a></strong></td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center">ONNX <a href="https://github.com/Microsoft/MMdnn">MMdnn (through ONNX)</a></td> <td align="center">-</td> <td align="center">None</td> <td align="center">None</td> <td align="center">ONNX <a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center">None</td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center">None</td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center">None</td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center">None</td> <td align="center">None</td> </tr> <tr> <td><strong><a href="https://github.com/Theano/Theano/wiki/Related-projects">theano</a>/<a href="https://github.com/Lasagne/Recipes">lasagne</a></strong></td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center"> - </td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> </tr> <tr> <td><strong><a href="https://github.com/NervanaSystems/ModelZoo">neon</a></strong></td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">-</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> </tr> <tr> <td><strong><a href="https://github.com/pytorch/vision">pytorch</a></strong> ✨</td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center"><a href="https://github.com/inisis/brocolli">brocolli</a> <a href="https://github.com/xxradon/PytorchToCaffe">PytorchToCaffe</a> <a href="https://github.com/Microsoft/MMdnn">MMdnn</a> <a href="https://github.com/longcw/pytorch2caffe">pytorch2caffe</a> <a href="https://github.com/marvis/pytorch-caffe-darknet-convert">pytorch-caffe-darknet-convert</a></td> <td align="center"><a href="https://github.com/onnx/onnx-caffe2">onnx-caffe2</a> <a href="https://github.com/Microsoft/MMdnn">MMdnn (through ONNX)</a></td> <td align="center">ONNX <a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center">None</td> <td align="center">None</td> <td align="center">-</td> <td align="center">None</td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn</a> <a href="https://github.com/nerox8664/pytorch2keras">pytorch2keras</a> <a href="https://github.com/gzuidhof/nn-transfer">nn-transfer</a></td> <td align="center"><a href="https://github.com/marvis/pytorch-caffe-darknet-convert">pytorch-caffe-darknet-convert</a></td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn</a> <a href="https://github.com/nerox8664/pytorch2keras">pytorch2keras</a> (over Keras) <a href="https://github.com/leonidk/pytorch-tf">pytorch-tf</a></td> <td align="center">None</td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn</a> <a href="https://github.com/onnx/onnx-coreml">onnx-coreml</a></td> <td align="center">None</td> <td align="center">None</td> </tr> <tr> <td><strong><a href="https://github.com/torch/torch7/wiki/ModelZoo">torch</a></strong></td> <td align="center">None</td> <td align="center"><a href="https://github.com/facebook/fb-caffe-exts#torch2caffe">fb-caffe-exts/torch2caffe</a> <a href="https://github.com/kuangliu/mocha">mocha</a> <a href="https://github.com/Teaonly/trans-torch">trans-torch</a> <a href="https://github.com/e-lab/th2caffe">th2caffe</a></td> <td align="center"><a href="https://github.com/ca1773130n/Torch2Caffe2">Torch2Caffe2</a></td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center"><a href="https://github.com/clcarwin/convert_torch_to_pytorch">convert_torch_to_pytorch</a></td> <td align="center">-</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center"><a href="https://github.com/prisma-ai/torch2coreml">torch2coreml</a> <a href="https://github.com/woffle/torch2ios">torch2ios</a></td> <td align="center">None</td> <td align="center">None</td> </tr> <tr> <td><strong><a href="https://github.com/fchollet/deep-learning-models">keras</a></strong> ✨</td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center"><a href="https://github.com/AlexPasqua/keras-caffe-converter">keras-caffe-converter</a> <a href="https://github.com/Microsoft/MMdnn">MMdnn</a> <a href="https://github.com/hahnyuan/nn_tools">nn_tools</a> <a href="https://github.com/uhfband/keras2caffe">keras2caffe</a></td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn (through ONNX)</a></td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center">None</td> <td align="center">None</td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn</a> <a href="https://github.com/gzuidhof/nn-transfer">nn-transfer</a></td> <td align="center">None</td> <td align="center">-</td> <td align="center">None</td> <td align="center"><a href="https://github.com/hahnyuan/nn_tools">nn_tools</a> <a href="https://github.com/goranrauker/convert-to-tensorflow">convert-to-tensorflow</a> <a href="https://github.com/alanswx/keras_to_tensorflow">keras_to_tensorflow</a> <a href="https://github.com/amir-abdi/keras_to_tensorflow">keras_to_tensorflow</a> <a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center">None</td> <td align="center"><a href="https://apple.github.io/coremltools/" rel="nofollow">apple/coremltools</a> ✨ <a href="https://github.com/triagemd/model-converters">model-converters</a> <a href="https://github.com/Bulochkin/keras_models">keras_models</a> <a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center">None</td> <td align="center">None</td> </tr> <tr> <td><strong><a href="https://pjreddie.com/darknet/imagenet/" rel="nofollow">darknet</a></strong></td> <td align="center">None</td> <td align="center"><a href="https://github.com/marvis/pytorch-caffe-darknet-convert">pytorch-caffe-darknet-convert</a></td> <td align="center">None</td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center">None</td> <td align="center">None</td> <td align="center"><a href="https://github.com/marvis/pytorch-caffe-darknet-convert">pytorch-caffe-darknet-convert</a></td> <td align="center">None</td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center"> - </td> <td align="center"><a href="https://github.com/jinyu121/DW2TF">DW2TF</a> <a href="https://github.com/thtrieu/darkflow">darkflow</a> <a href="https://github.com/dEcmir/lego_yolo">lego_yolo</a></td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> </tr> <tr> <td><strong><a href="https://github.com/tensorflow/models">tensorflow</a></strong> ✨</td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn</a> <a href="https://github.com/hahnyuan/nn_tools">nn_tools</a></td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn (through ONNX)</a></td> <td align="center"><a href="https://github.com/Microsoft/CNTK/tree/master/bindings/python/cntk/contrib/crosstalk">crosstalk</a> <a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center">None</td> <td align="center">None</td> <td align="center"><a href="https://github.com/leonidk/pytorch-tf">pytorch-tf</a> <a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center">None</td> <td align="center"><a href="https://github.com/triagemd/model-converters">model-converters</a> <a href="https://github.com/hahnyuan/nn_tools">nn_tools</a> <a href="https://github.com/goranrauker/convert-to-tensorflow">convert-to-tensorflow</a> <a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center">None</td> <td align="center">-</td> <td align="center">None</td> <td align="center"><a href="https://github.com/tf-coreml/tf-coreml">tfcoreml</a> <a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center"><a href="https://github.com/PaddlePaddle/X2Paddle">X2Paddle</a></td> <td align="center">None</td> </tr> <tr> <td><strong><a href="http://docs.chainer.org/en/stable/reference/caffe.html" rel="nofollow">chainer</a></strong></td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center"><a href="https://github.com/vzhong/chainer2pytorch">chainer2pytorch</a></td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">-</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> </tr> <tr> <td><strong><a href="https://developer.apple.com/documentation/coreml" rel="nofollow">coreML/iOS</a></strong> ✨</td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn (through ONNX)</a></td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center">None</td> <td align="center">None</td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center">None</td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center">None</td> <td align="center"><a href="https://github.com/Microsoft/MMdnn">MMdnn</a></td> <td align="center">None</td> <td align="center">-</td> <td align="center">None</td> <td align="center"></td> </tr> <tr> <td><a href="http://paddlepaddle.org/" rel="nofollow">paddle</a></td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">-</td> <td align="center">None</td> </tr> <tr> <td><strong><a href="https://github.com/onnx/onnx">ONNX</a></strong></td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center"><a href="https://github.com/inisis/onnx2torch">onnx2torch</a> <a href="https://github.com/ENOT-AutoDL/onnx2torch">onnx2torch</a></td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center">None</td> <td align="center"><a href="https://github.com/PaddlePaddle/X2Paddle">X2Paddle</a></td> <td align="center">-</td> </tr> </tbody> </table></markdown-accessiblity-table> <div class="markdown-heading" dir="auto"><h1 tabindex="-1" class="heading-element" dir="auto">Brief Intro of Convertors</h1><a id="user-content-brief-intro-of-convertors" class="anchor" aria-label="Permalink: Brief Intro of Convertors" href="#brief-intro-of-convertors"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Open Neural Network Exchange</h2><a id="user-content-open-neural-network-exchange" class="anchor" aria-label="Permalink: Open Neural Network Exchange" href="#open-neural-network-exchange"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto"><strong>General framework for converting between all kinds of neural networks</strong></p> <p dir="auto"><a href="https://github.com/onnx">ONNX</a> is an effort to unify converters for neural networks in order to bring some sanity to the NN world. Released by Facebook and Microsoft. More info <a href="http://onnx.ai" rel="nofollow">here</a>.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">MMdnn</h2><a id="user-content-mmdnn" class="anchor" aria-label="Permalink: MMdnn" href="#mmdnn"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto"><a href="https://github.com/Microsoft/MMdnn">MMdnn</a> is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between CaffeEmit, CNTK, CoreML, Keras, MXNet, ONNX, PyTorch and TensorFlow.</p> <p dir="auto"><a target="_blank" rel="noopener noreferrer" href="https://github.com/Microsoft/MMdnn/blob/master/docs/supported.jpg"><img src="https://github.com/Microsoft/MMdnn/raw/master/docs/supported.jpg" width="400" height="400" style="max-width: 100%;"></a></p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">MXNet convertor</h2><a id="user-content-mxnet-convertor" class="anchor" aria-label="Permalink: MXNet convertor" href="#mxnet-convertor"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto"><strong>Convert to MXNet model</strong>.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/mdering/CoreMLZoo">mdering/CoreMLZoo: A few models converted from caffe to CoreMLs format</a></h3><a id="user-content-mderingcoremlzoo-a-few-models-converted-from-caffe-to-coremls-format" class="anchor" aria-label="Permalink: mdering/CoreMLZoo: A few models converted from caffe to CoreMLs format" href="#mderingcoremlzoo-a-few-models-converted-from-caffe-to-coremls-format"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">A few deep learning models converted from various formats to CoreMLs format. Models currently available:</p> <ul dir="auto"> <li>SqueezeNet</li> <li>VGG19 Please feel free to create a pull request with additional models.</li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/dmlc/mxnet/tree/master/tools/caffe_converter">mxnet/tools/caffe_converter</a></h3><a id="user-content-mxnettoolscaffe_converter" class="anchor" aria-label="Permalink: mxnet/tools/caffe_converter" href="#mxnettoolscaffe_converter"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Key topics covered include the following:</p> <ul dir="auto"> <li>Converting Caffe trained models to MXNet</li> <li>Calling Caffe operators in MXNet More concretly, please refer to <a href="https://github.com/dmlc/mxnet/tree/master/tools/caffe_converter">mxnet/tools/caffe_converter</a> and <a href="https://github.com/dmlc/mxnet/blob/master/docs/how_to/caffe.md">How to | Convert from Caffe to MXNet</a>.</li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/nicklhy/ResNet_caffe2mxnet">nicklhy/ResNet_caffe2mxnet</a></h3><a id="user-content-nicklhyresnet_caffe2mxnet" class="anchor" aria-label="Permalink: nicklhy/ResNet_caffe2mxnet" href="#nicklhyresnet_caffe2mxnet"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">This is a tool to convert the deep-residual-networks from caffe model to mxnet model. The weights are directly copied from caffe network blobs.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Caffe convertor</h2><a id="user-content-caffe-convertor" class="anchor" aria-label="Permalink: Caffe convertor" href="#caffe-convertor"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto"><strong>Convert to Caffe model</strong>.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/AlexPasqua/keras-caffe-converter">keras-caffe-converter</a></h3><a id="user-content-keras-caffe-converter" class="anchor" aria-label="Permalink: keras-caffe-converter" href="#keras-caffe-converter"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">It is a converter between Keras and Caffe in both ways. It works using only the Keras model to generate both the caffemodel and prototxt files, but it is also possible to pass it the prototxt file with the description of the model if you have it.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/inisis/brocolli">brocolli</a></h3><a id="user-content-brocolli" class="anchor" aria-label="Permalink: brocolli" href="#brocolli"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Support 1.9.0 or higher Pytorch</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/longcw/pytorch2caffe">pytorch2caffe</a></h3><a id="user-content-pytorch2caffe" class="anchor" aria-label="Permalink: pytorch2caffe" href="#pytorch2caffe"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Convert PyTorch model to Caffemodel.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/cypw/MXNet2Caffe">cypw/MXNet2Caffe</a></h3><a id="user-content-cypwmxnet2caffe" class="anchor" aria-label="Permalink: cypw/MXNet2Caffe" href="#cypwmxnet2caffe"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Convert MXNet model to Caffe model.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/wranglerwong/Mxnet2Caffe">wranglerwong/Mxnet2Caffe: Convert MXNet model to Caffe model</a></h3><a id="user-content-wranglerwongmxnet2caffe-convert-mxnet-model-to-caffe-model" class="anchor" aria-label="Permalink: wranglerwong/Mxnet2Caffe: Convert MXNet model to Caffe model" href="#wranglerwongmxnet2caffe-convert-mxnet-model-to-caffe-model"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Convert MXNet model to Caffe model.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/kuangliu/mocha">kuangliu/mocha</a></h3><a id="user-content-kuangliumocha" class="anchor" aria-label="Permalink: kuangliu/mocha" href="#kuangliumocha"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Convert torch model to/from caffe model easily.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/uhfband/keras2caffe">uhfband/keras2caffe: Keras to Caffe model converter tool</a></h3><a id="user-content-uhfbandkeras2caffe-keras-to-caffe-model-converter-tool" class="anchor" aria-label="Permalink: uhfband/keras2caffe: Keras to Caffe model converter tool" href="#uhfbandkeras2caffe-keras-to-caffe-model-converter-tool"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">This tool tested with Caffe 1.0, Keras 2.1.2 and TensorFlow 1.4.0</p> <p dir="auto">Working conversion examples:</p> <ul dir="auto"> <li>Inception V3</li> <li>Inception V4 (<a href="https://github.com/kentsommer/keras-inceptionV4">https://github.com/kentsommer/keras-inceptionV4</a>)</li> <li>Xception V1</li> <li>SqueezeNet (<a href="https://github.com/rcmalli/keras-squeezenet">https://github.com/rcmalli/keras-squeezenet</a>)</li> <li>VGG16</li> </ul> <p dir="auto">Problem layers:</p> <ul dir="auto"> <li>ZeroPadding2D</li> <li>MaxPooling2D and AveragePooling2D with asymmetric padding</li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/facebook/fb-caffe-exts#torch2caffe">facebook/fb-caffe-exts/torch2caffe</a></h3><a id="user-content-facebookfb-caffe-extstorch2caffe" class="anchor" aria-label="Permalink: facebook/fb-caffe-exts/torch2caffe" href="#facebookfb-caffe-extstorch2caffe"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Some handy utility libraries and tools for the Caffe deep learning framework, which has ** A library for converting pre-trained Torch models to the equivalent Caffe models.**</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/marvis/pytorch-caffe-darknet-convert">pytorch-caffe-darknet-convert</a></h3><a id="user-content-pytorch-caffe-darknet-convert" class="anchor" aria-label="Permalink: pytorch-caffe-darknet-convert" href="#pytorch-caffe-darknet-convert"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Convert between pytorch, caffe and darknet models. Caffe darknet models can be load directly by pytorch.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/Teaonly/trans-torch">Teaonly/trans-torch</a></h3><a id="user-content-teaonlytrans-torch" class="anchor" aria-label="Permalink: Teaonly/trans-torch" href="#teaonlytrans-torch"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Translating Torch model to other framework such as Caffe, MxNet ...</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/e-lab/th2caffe">e-lab/th2caffe</a></h3><a id="user-content-e-labth2caffe" class="anchor" aria-label="Permalink: e-lab/th2caffe" href="#e-labth2caffe"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">A torch-nn to caffe converter for specific layers.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/hahnyuan/nn_tools">hahnyuan/nn_tools</a></h3><a id="user-content-hahnyuannn_tools" class="anchor" aria-label="Permalink: hahnyuan/nn_tools" href="#hahnyuannn_tools"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">a neural network convertor for models among caffe tensorflow keras</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/xxradon/PytorchToCaffe">xxradon/PytorchToCaffe: Pytorch model to caffe model, supported pytorch 0.3, 0.3.1, 0.4, 0.4.1 ,1.0 , 1.0.1 , 1.2 ,1.3 .notice that only pytorch 1.1 have some bugs</a></h3><a id="user-content-xxradonpytorchtocaffe-pytorch-model-to-caffe-model-supported-pytorch-03-031-04-041-10--101--12-13-notice-that-only-pytorch-11-have-some-bugs" class="anchor" aria-label="Permalink: xxradon/PytorchToCaffe: Pytorch model to caffe model, supported pytorch 0.3, 0.3.1, 0.4, 0.4.1 ,1.0 , 1.0.1 , 1.2 ,1.3 .notice that only pytorch 1.1 have some bugs" href="#xxradonpytorchtocaffe-pytorch-model-to-caffe-model-supported-pytorch-03-031-04-041-10--101--12-13-notice-that-only-pytorch-11-have-some-bugs"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Providing a tool for neural network frameworks for pytorch and caffe.</p> <p dir="auto">The nn_tools is released under the MIT License (refer to the LICENSE file for details).</p> <p dir="auto">features:</p> <ol dir="auto"> <li>Converting a pytorch model to caffe model.</li> <li>Some convenient tools of manipulate caffemodel and prototxt quickly(like get or set weights of layers).</li> <li>Support pytorch version >= 0.2.(Have tested on 0.3,0.3.1, 0.4, 0.4.1 ,1.0, 1.2)</li> <li>Analysing a model, get the operations number(ops) in every layers.<br> Noting: pytorch version 1.1 is not supported now</li> </ol> <p dir="auto">requirements</p> <ol dir="auto"> <li>Python2.7 or Python3.x</li> <li>Each functions in this tools requires corresponding neural network python package (pytorch and so on).</li> </ol> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Caffe2 convertor</h2><a id="user-content-caffe2-convertor" class="anchor" aria-label="Permalink: Caffe2 convertor" href="#caffe2-convertor"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto"><strong>Convert to Caffe2 model</strong>.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://caffe2.ai/docs/caffe-migration.html#caffe-to-caffe2" rel="nofollow">CaffeToCaffe2</a></h3><a id="user-content-caffetocaffe2" class="anchor" aria-label="Permalink: CaffeToCaffe2" href="#caffetocaffe2"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">This is an official convertor, which not only provoide a script also an ipython notebook as below:</p> <ul dir="auto"> <li><a href="https://github.com/caffe2/caffe2/blob/master/caffe2/python/tutorials/Getting_Caffe1_Models_for_Translation.ipynb">caffe2/Getting_Caffe1_Models_for_Translation.ipynb at master · caffe2/caffe2</a></li> <li><a href="https://github.com/caffe2/caffe2/blob/master/caffe2/python/caffe_translator.py">caffe2/caffe_translator.py at master · caffe2/caffe2</a></li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/onnx/onnx-caffe2">onnx-caffe2</a></h3><a id="user-content-onnx-caffe2" class="anchor" aria-label="Permalink: onnx-caffe2" href="#onnx-caffe2"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Convert PyTorch to Caffe2 (making it especially easy to deploy on mobile devices)</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">CNTK convertor</h2><a id="user-content-cntk-convertor" class="anchor" aria-label="Permalink: CNTK convertor" href="#cntk-convertor"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto"><strong>Convert to CNTK model</strong>.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/Microsoft/CNTK/tree/master/bindings/python/cntk/contrib/crosstalkcaffe">crosstalkcaffe/CaffeConverter</a></h3><a id="user-content-crosstalkcaffecaffeconverter" class="anchor" aria-label="Permalink: crosstalkcaffe/CaffeConverter" href="#crosstalkcaffecaffeconverter"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">The tool will help you convert trained models from Caffe to CNTK.</p> <p dir="auto">Convert trained models: giving a model script and its weights file, export to CNTK model.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/Microsoft/CNTK/tree/master/bindings/python/cntk/contrib/crosstalk">crosstalk</a></h3><a id="user-content-crosstalk" class="anchor" aria-label="Permalink: crosstalk" href="#crosstalk"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">crosstalk is from CNTK contrib.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Theano/Lasagne convertor</h2><a id="user-content-theanolasagne-convertor" class="anchor" aria-label="Permalink: Theano/Lasagne convertor" href="#theanolasagne-convertor"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto"><strong>Convert to Theano/Lasagne model</strong>.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/an-kumar/caffe-theano-conversion">an-kumar/caffe-theano-conversion</a></h3><a id="user-content-an-kumarcaffe-theano-conversion" class="anchor" aria-label="Permalink: an-kumar/caffe-theano-conversion" href="#an-kumarcaffe-theano-conversion"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">This is part of a project for CS231N at Stanford University, written by Ankit Kumar, Mathematics major, Class of 2015</p> <p dir="auto">This is a repository that allows you to convert pretrained caffe models into models in Lasagne, a thin wrapper around Theano. You can also convert a caffe model's architecture to an equivalent one in Lasagne. You do not need caffe installed to use this module.</p> <p dir="auto">Currently, the following caffe layers are supported:</p> <div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="* Convolution * LRN * Pooling * Inner Product * Relu * Softmax"><pre class="notranslate"><code>* Convolution * LRN * Pooling * Inner Product * Relu * Softmax </code></pre></div> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/kencoken/caffe-model-convert">kencoken/caffe-model-convert</a></h3><a id="user-content-kencokencaffe-model-convert" class="anchor" aria-label="Permalink: kencoken/caffe-model-convert" href="#kencokencaffe-model-convert"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Convert models from Caffe to Theano format.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/piergiaj/caffe-to-theano">piergiaj/caffe-to-theano</a></h3><a id="user-content-piergiajcaffe-to-theano" class="anchor" aria-label="Permalink: piergiaj/caffe-to-theano" href="#piergiajcaffe-to-theano"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Convert a Caffe Model to a Theano Model. This currently works on AlexNet, but should work for any Caffe model that only includes layers that have been impemented.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Neon convertor </h2><a id="user-content-neon-convertor-" class="anchor" aria-label="Permalink: Neon convertor " href="#neon-convertor-"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto"><strong>Convert to Neon model</strong>.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/NervanaSystems/caffe2neon">NervanaSystems/caffe2neon</a></h3><a id="user-content-nervanasystemscaffe2neon" class="anchor" aria-label="Permalink: NervanaSystems/caffe2neon" href="#nervanasystemscaffe2neon"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Tools to convert Caffe models to neon's serialization format.</p> <p dir="auto">This repo contains tools to convert Caffe models into a format compatible with the <a href="https://github.com/NervanaSystems/caffe2neon">neon deep learning library</a>. The main script, "decaffeinate.py", takes as input a caffe model definition file and the corresponding model weights file and returns a neon serialized model file. This output file can be used to instantiate the neon Model object, which will generate a model in neon that should replicate the behavior of the Caffe model.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">PyTorch convertor </h2><a id="user-content-pytorch-convertor-" class="anchor" aria-label="Permalink: PyTorch convertor " href="#pytorch-convertor-"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto"><strong>Convert to PyTorch model</strong>.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/nerox8664/gluon2pytorch">nerox8664/gluon2pytorch</a></h3><a id="user-content-nerox8664gluon2pytorch" class="anchor" aria-label="Permalink: nerox8664/gluon2pytorch" href="#nerox8664gluon2pytorch"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Convert mxnet / gluon graph to PyTorch source + weights.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/ruotianluo/pytorch-resnet">ruotianluo/pytorch-resnet</a></h3><a id="user-content-ruotianluopytorch-resnet" class="anchor" aria-label="Permalink: ruotianluo/pytorch-resnet" href="#ruotianluopytorch-resnet"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Convert resnet trained in caffe to pytorch model.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/clcarwin/convert_torch_to_pytorch">clcarwin/convert_torch_to_pytorch</a></h3><a id="user-content-clcarwinconvert_torch_to_pytorch" class="anchor" aria-label="Permalink: clcarwin/convert_torch_to_pytorch" href="#clcarwinconvert_torch_to_pytorch"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Convert torch t7 model to pytorch model and source.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/vzhong/chainer2pytorch">vzhong/chainer2pytorch</a></h3><a id="user-content-vzhongchainer2pytorch" class="anchor" aria-label="Permalink: vzhong/chainer2pytorch" href="#vzhongchainer2pytorch"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto"><code>chainer2pytorch</code> implements conversions from Chainer modules to PyTorch modules, setting parameters of each modules such that one can port over models on a module basis.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/marvis/pytorch-caffe">pytorch-caffe</a></h3><a id="user-content-pytorch-caffe" class="anchor" aria-label="Permalink: pytorch-caffe" href="#pytorch-caffe"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Load caffe prototxt and weights directly in pytorch without explicitly converting model from caffe to pytorch.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/gzuidhof/nn-transfer">nn-transfer</a></h3><a id="user-content-nn-transfer" class="anchor" aria-label="Permalink: nn-transfer" href="#nn-transfer"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Convert between Keras and PyTorch models.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Torch convertor </h2><a id="user-content-torch-convertor-" class="anchor" aria-label="Permalink: Torch convertor " href="#torch-convertor-"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto"><strong>Convert to Torch model</strong>.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/kmatzen/googlenet-caffe2torch">kmatzen/googlenet-caffe2torch</a></h3><a id="user-content-kmatzengooglenet-caffe2torch" class="anchor" aria-label="Permalink: kmatzen/googlenet-caffe2torch" href="#kmatzengooglenet-caffe2torch"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Converts bvlc_googlenet.caffemodel to a Torch nn model.</p> <p dir="auto">Want to use the pre-trained GoogLeNet from the BVLC Model Zoo in Torch? Do you not want to use Caffe as an additional dependency inside Torch? Use these two scripts to build the network definition in Torch and copy the learned weights from the Caffe model.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/kuangliu/mocha">kuangliu/mocha</a></h3><a id="user-content-kuangliumocha-1" class="anchor" aria-label="Permalink: kuangliu/mocha" href="#kuangliumocha-1"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Convert torch model to/from caffe model easily.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/szagoruyko/loadcaffe">szagoruyko/loadcaffe</a></h3><a id="user-content-szagoruykoloadcaffe" class="anchor" aria-label="Permalink: szagoruyko/loadcaffe" href="#szagoruykoloadcaffe"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Convert caffe model to a Torch nn.Sequential model.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Keras convertor </h2><a id="user-content-keras-convertor-" class="anchor" aria-label="Permalink: Keras convertor " href="#keras-convertor-"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto"><strong>Convert to Keras model</strong>.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/AlexPasqua/keras-caffe-converter">AlexPasqua/keras-caffe-converter</a></h3><a id="user-content-alexpasquakeras-caffe-converter" class="anchor" aria-label="Permalink: AlexPasqua/keras-caffe-converter" href="#alexpasquakeras-caffe-converter"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">It is a both-ways converter between Keras and Caffe. It takes the weights from the <code>.caffemodel</code> using <a href="https://github.com/AlexPasqua/caffe_weight_converter">caffe_weight_converter</a> and generates an equivalent Keras model. It also outputs the Python source code used to generate that Keras model.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/AlexPasqua/caffe_weight_converter">AlexPasqua/caffe_weight_converter</a></h3><a id="user-content-alexpasquacaffe_weight_converter" class="anchor" aria-label="Permalink: AlexPasqua/caffe_weight_converter" href="#alexpasquacaffe_weight_converter"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">This project is used as a part of the previous one on this list: <a href="https://github.com/AlexPasqua/keras-caffe-converter">AlexPasqua/keras-caffe-converter</a>, which is more complete, documented and easy to use. I'd recommend using that one instead.<br> This is a Caffe-to-Keras weight converter, i.e. it converts <code>.caffemodel</code> weight files to Keras-2-compatible HDF5 weight files. It can also export <code>.caffemodel</code> weights as Numpy arrays for further processing.</p> <p dir="auto">This converter converts the weights of a model only (not the model definition), which has the great advantage that it doesn't break every time it encounters an unknown layer type like other converters to that try to translate the model definition as well. The downside, of course, is that you'll have to write the model definition yourself.</p> <p dir="auto">The repository also provides converted weights for some popular models.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/qxcv/caffe2keras">qxcv/caffe2keras</a></h3><a id="user-content-qxcvcaffe2keras" class="anchor" aria-label="Permalink: qxcv/caffe2keras" href="#qxcvcaffe2keras"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Note: This converter has been adapted from code in <a href="https://github.com/MarcBS/keras">Marc Bolaños fork of Caffe</a>. See acks for code provenance.</p> <p dir="auto">This is intended to serve as a conversion module for Caffe models to Keras models.</p> <p dir="auto">Please, be aware that this module is not regularly maintained. Thus, some layers or parameter definitions introduced in newer versions of either Keras or Caffe might not be compatible with the converter. Pull requests welcome!</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/hahnyuan/nn_tools">hahnyuan/nn_tools</a></h3><a id="user-content-hahnyuannn_tools-1" class="anchor" aria-label="Permalink: hahnyuan/nn_tools" href="#hahnyuannn_tools-1"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">a neural network convertor for models among caffe tensorflow keras</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/MarcBS/keras">MarcBS/keras</a></h3><a id="user-content-marcbskeras" class="anchor" aria-label="Permalink: MarcBS/keras" href="#marcbskeras"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Keras' fork with several new functionalities. Caffe2Keras converter, multimodal layers, etc. <a href="https://github.com/MarcBS/keras">https://github.com/MarcBS/keras</a></p> <p dir="auto">This fork of Keras offers the following contributions:</p> <p dir="auto">Caffe to Keras conversion module Layer-specific learning rates New layers for multimodal data Contact email: <a href="mailto:marc.bolanos@ub.edu">marc.bolanos@ub.edu</a></p> <p dir="auto">GitHub page: <a href="https://github.com/MarcBS">https://github.com/MarcBS</a></p> <p dir="auto">MarcBS/keras is compatible with: Python 2.7 and Theano only.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/OdinLin/caffe2keras">OdinLin/caffe2keras</a></h3><a id="user-content-odinlincaffe2keras" class="anchor" aria-label="Permalink: OdinLin/caffe2keras" href="#odinlincaffe2keras"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">a simple tool to translate caffe model to keras model.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/jamescfli/Deep_Learning_Model_Converter">jamescfli/Deep_Learning_Model_Converter</a></h3><a id="user-content-jamescflideep_learning_model_converter" class="anchor" aria-label="Permalink: jamescfli/Deep_Learning_Model_Converter" href="#jamescflideep_learning_model_converter"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/gzuidhof/nn-transfer">nn-transfer</a></h3><a id="user-content-nn-transfer-1" class="anchor" aria-label="Permalink: nn-transfer" href="#nn-transfer-1"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Convert between Keras and PyTorch models.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/nerox8664/pytorch2keras">pytorch2keras</a></h3><a id="user-content-pytorch2keras" class="anchor" aria-label="Permalink: pytorch2keras" href="#pytorch2keras"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Convert pytorch models to Keras.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Darknet convertor </h2><a id="user-content-darknet-convertor-" class="anchor" aria-label="Permalink: Darknet convertor " href="#darknet-convertor-"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto"><strong>Convert to Darknet model</strong>.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/marvis/pytorch-caffe-darknet-convert">pytorch-caffe-darknet-convert</a></h3><a id="user-content-pytorch-caffe-darknet-convert-1" class="anchor" aria-label="Permalink: pytorch-caffe-darknet-convert" href="#pytorch-caffe-darknet-convert-1"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Convert between pytorch, caffe and darknet models. Caffe darknet models can be load directly by pytorch.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="/ysh329/deep-learning-model-convertor/blob/master"></a></h3><a id="" class="anchor" aria-label="Permalink: " href="#"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="/ysh329/deep-learning-model-convertor/blob/master"></a></h3><a id="user-content--1" class="anchor" aria-label="Permalink: " href="#-1"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">TensorFlow convertor </h2><a id="user-content-tensorflow-convertor-" class="anchor" aria-label="Permalink: TensorFlow convertor " href="#tensorflow-convertor-"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto"><strong>Convert to TensorFlow model</strong>.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/Microsoft/CNTK/tree/master/bindings/python/cntk/contrib/crosstalk">crosstalk</a></h3><a id="user-content-crosstalk-1" class="anchor" aria-label="Permalink: crosstalk" href="#crosstalk-1"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">crosstalk is from CNTK.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/triagemd/model-converters">triagemd/model-converters: Tools for converting Keras models for use with other ML frameworks</a></h3><a id="user-content-triagemdmodel-converters-tools-for-converting-keras-models-for-use-with-other-ml-frameworks" class="anchor" aria-label="Permalink: triagemd/model-converters: Tools for converting Keras models for use with other ML frameworks" href="#triagemdmodel-converters-tools-for-converting-keras-models-for-use-with-other-ml-frameworks"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Tools for converting Keras models for use with other ML frameworks (coreML, TensorFlow).</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/hahnyuan/nn_tools">hahnyuan/nn_tools</a></h3><a id="user-content-hahnyuannn_tools-2" class="anchor" aria-label="Permalink: hahnyuan/nn_tools" href="#hahnyuannn_tools-2"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">a neural network convertor for models among caffe tensorflow keras</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/ethereon/caffe-tensorflow">ethereon/caffe-tensorflow: Caffe models in TensorFlow</a></h3><a id="user-content-ethereoncaffe-tensorflow-caffe-models-in-tensorflow" class="anchor" aria-label="Permalink: ethereon/caffe-tensorflow: Caffe models in TensorFlow" href="#ethereoncaffe-tensorflow-caffe-models-in-tensorflow"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Convert Caffe models to TensorFlow.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/goranrauker/convert-to-tensorflow">goranrauker/convert-to-tensorflow</a></h3><a id="user-content-goranraukerconvert-to-tensorflow" class="anchor" aria-label="Permalink: goranrauker/convert-to-tensorflow" href="#goranraukerconvert-to-tensorflow"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Converts a variety of trained models to a frozen tensorflow protocol buffer file for use with the c++ tensorflow api. C++ code is included for using the frozen models.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/thtrieu/darkflow">thtrieu/darkflow</a></h3><a id="user-content-thtrieudarkflow" class="anchor" aria-label="Permalink: thtrieu/darkflow" href="#thtrieudarkflow"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/dEcmir/lego_yolo">dEcmir/lego_yolo</a></h3><a id="user-content-decmirlego_yolo" class="anchor" aria-label="Permalink: dEcmir/lego_yolo" href="#decmirlego_yolo"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Tensorflow code to to retrain yolo on a new dataset using weights from darknet</p> <p dir="auto">This repository contains experiments of transfer learning using YOLO on a new synthetical LEGO data set ROUGH AND UNDOCUMENTED!</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/alanswx/keras_to_tensorflow">alanswx/keras_to_tensorflow</a></h3><a id="user-content-alanswxkeras_to_tensorflow" class="anchor" aria-label="Permalink: alanswx/keras_to_tensorflow" href="#alanswxkeras_to_tensorflow"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Convert keras models to tensorflow frozen graph for use on cell phones, etc.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/amir-abdi/keras_to_tensorflow">amir-abdi/keras_to_tensorflow</a></h3><a id="user-content-amir-abdikeras_to_tensorflow" class="anchor" aria-label="Permalink: amir-abdi/keras_to_tensorflow" href="#amir-abdikeras_to_tensorflow"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">General code to convert a trained keras model into an inference tensorflow model.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/leonidk/pytorch-tf">leonidk/pytorch-tf</a></h3><a id="user-content-leonidkpytorch-tf" class="anchor" aria-label="Permalink: leonidk/pytorch-tf" href="#leonidkpytorch-tf"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Converting a pretrained pytorch model to tensorflow</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/nerox8664/pytorch2keras">pytorch2keras</a></h3><a id="user-content-pytorch2keras-1" class="anchor" aria-label="Permalink: pytorch2keras" href="#pytorch2keras-1"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Convert pytorch models to Tensorflow (via Keras)</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/jinyu121/DW2TF">jinyu121/DW2TF: Darknet Weights to TensorFlow</a></h3><a id="user-content-jinyu121dw2tf-darknet-weights-to-tensorflow" class="anchor" aria-label="Permalink: jinyu121/DW2TF: Darknet Weights to TensorFlow" href="#jinyu121dw2tf-darknet-weights-to-tensorflow"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">This is a simple convector which converts Darknet weights file (.weights) to Tensorflow weights file (.ckpt).</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/leonidk/pytorch-tf">leonidk/pytorch-tf</a></h3><a id="user-content-leonidkpytorch-tf-1" class="anchor" aria-label="Permalink: leonidk/pytorch-tf" href="#leonidkpytorch-tf-1"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">No readme.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Chainer convertor </h2><a id="user-content-chainer-convertor-" class="anchor" aria-label="Permalink: Chainer convertor " href="#chainer-convertor-"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto"><strong>Convert to Chainer model</strong>.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">coreML convertor </h2><a id="user-content-coreml-convertor-" class="anchor" aria-label="Permalink: coreML convertor " href="#coreml-convertor-"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto"><strong>Convert to coreML model</strong>.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://developer.apple.com/documentation/coreml" rel="nofollow">Apple: Converting Trained Models to Core ML</a></h3><a id="user-content-apple-converting-trained-models-to-core-ml" class="anchor" aria-label="Permalink: Apple: Converting Trained Models to Core ML" href="#apple-converting-trained-models-to-core-ml"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Convert trained models created with third-party machine learning tools to the Core ML model format.</p> <p dir="auto">If your model is created and trained using a supported third-party machine learning tool, you can use Core ML Tools to convert it to the Core ML model format. Table 1 lists the supported models and third-party tools.</p> <markdown-accessiblity-table><table> <thead> <tr> <th align="center">Model type</th> <th align="center">Supported models</th> <th align="center">Supported tools</th> </tr> </thead> <tbody> <tr> <td align="center">Neural networks</td> <td align="center">Feedforward, convolutional, recurrent</td> <td align="center">Caffe v1 <br>Keras 1.2.2+</td> </tr> <tr> <td align="center">Tree ensembles</td> <td align="center">Random forests, boosted trees, decision trees</td> <td align="center">scikit-learn 0.18 <br>XGBoost 0.6</td> </tr> <tr> <td align="center">Support vector machines</td> <td align="center">Scalar regression, multiclass classification</td> <td align="center">scikit-learn 0.18<br>LIBSVM 3.22</td> </tr> <tr> <td align="center">Generalized linear models</td> <td align="center">Linear regression, logistic regression</td> <td align="center">scikit-learn 0.18</td> </tr> <tr> <td align="center">Feature engineering</td> <td align="center">Sparse vectorization, dense vectorization, categorical processing</td> <td align="center">scikit-learn 0.18</td> </tr> <tr> <td align="center">Pipeline models</td> <td align="center">Sequentially chained models</td> <td align="center">scikit-learn 0.18</td> </tr> </tbody> </table></markdown-accessiblity-table> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/apache/incubator-mxnet/tree/master/tools/coreml">mxnet/tools/mxnet-to-coreml</a></h3><a id="user-content-mxnettoolsmxnet-to-coreml" class="anchor" aria-label="Permalink: mxnet/tools/mxnet-to-coreml" href="#mxnettoolsmxnet-to-coreml"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Convert MXNet models into Apple CoreML format. This tool helps convert MXNet models into Apple CoreML format which can then be run on Apple devices.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/prisma-ai/torch2coreml">prisma-ai/torch2coreml: Torch7 -> CoreML</a></h3><a id="user-content-prisma-aitorch2coreml-torch7---coreml" class="anchor" aria-label="Permalink: prisma-ai/torch2coreml: Torch7 -> CoreML" href="#prisma-aitorch2coreml-torch7---coreml"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">This tool helps convert Torch7 models into Apple CoreML format which can then be run on Apple devices.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/woffle/torch2ios">woffle/torch2ios: Torch7 Library - Convert NN Models To iOS Format</a></h3><a id="user-content-woffletorch2ios-torch7-library---convert-nn-models-to-ios-format" class="anchor" aria-label="Permalink: woffle/torch2ios: Torch7 Library - Convert NN Models To iOS Format" href="#woffletorch2ios-torch7-library---convert-nn-models-to-ios-format"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Torch7 Library - Convert NN Models To iOS Format.</p> <p dir="auto">Small lib to serialise Torch7 Networks for iOS. Supported Layers include Fully Connected, Pooling and Convolution Layers at present. The library stores the weights & biases (if any) for each layer necesarry for inference on iOS devices.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/Bulochkin/keras_models">Bulochkin/keras_models: Keras models with python-based convertor to provide embedding in IOS platform</a></h3><a id="user-content-bulochkinkeras_models-keras-models-with-python-based-convertor-to-provide-embedding-in-ios-platform" class="anchor" aria-label="Permalink: Bulochkin/keras_models: Keras models with python-based convertor to provide embedding in IOS platform" href="#bulochkinkeras_models-keras-models-with-python-based-convertor-to-provide-embedding-in-ios-platform"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Keras models with python-based convertor to provide embedding in IOS platform.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/triagemd/model-converters">triagemd/model-converters: Tools for converting Keras models for use with other ML frameworks</a></h3><a id="user-content-triagemdmodel-converters-tools-for-converting-keras-models-for-use-with-other-ml-frameworks-1" class="anchor" aria-label="Permalink: triagemd/model-converters: Tools for converting Keras models for use with other ML frameworks" href="#triagemdmodel-converters-tools-for-converting-keras-models-for-use-with-other-ml-frameworks-1"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Tools for converting Keras models for use with other ML frameworks (coreML, TensorFlow).</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/tf-coreml/tf-coreml">Apple & Google: Tensorflow to CoreML converter</a></h3><a id="user-content-apple--google-tensorflow-to-coreml-converter" class="anchor" aria-label="Permalink: Apple & Google: Tensorflow to CoreML converter" href="#apple--google-tensorflow-to-coreml-converter"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Google collaborated with Apple to create a Tensorflow to CoreML converter <a href="https://developers.googleblog.com/2017/12/announcing-core-ml-support.html" rel="nofollow">announcement</a>.</p> <p dir="auto">Support for Core ML is provided through a tool that takes a TensorFlow model and converts it to the Core ML Model Format (.mlmodel).</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Paddle convertor </h2><a id="user-content-paddle-convertor-" class="anchor" aria-label="Permalink: Paddle convertor " href="#paddle-convertor-"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto"><strong>Convert to Paddle model</strong>.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto"><a href="https://github.com/PaddlePaddle/X2Paddle">PaddlePaddle/X2Paddle: X2Paddle is a toolkit for converting trained model to PaddlePaddle from other deep learning frameworks. 支持主流深度学习框架模型转换至PaddlePaddle『飞桨』</a></h3><a id="user-content-paddlepaddlex2paddle-x2paddle-is-a-toolkit-for-converting-trained-model-to-paddlepaddle-from-other-deep-learning-frameworks-支持主流深度学习框架模型转换至paddlepaddle飞桨" class="anchor" aria-label="Permalink: PaddlePaddle/X2Paddle: X2Paddle is a toolkit for converting trained model to PaddlePaddle from other deep learning frameworks. 支持主流深度学习框架模型转换至PaddlePaddle『飞桨』" href="#paddlepaddlex2paddle-x2paddle-is-a-toolkit-for-converting-trained-model-to-paddlepaddle-from-other-deep-learning-frameworks-支持主流深度学习框架模型转换至paddlepaddle飞桨"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">X2Paddle is a toolkit for converting trained model to PaddlePaddle from other deep learning frameworks.</p> <p dir="auto">More detailed models: <a href="https://github.com/PaddlePaddle/X2Paddle/blob/develop/x2paddle_model_zoo.md">X2Paddle/x2paddle_model_zoo.md at develop · PaddlePaddle/X2Paddle</a></p> </article></div></div></div></div></div> <!-- --> <!-- --> <script type="application/json" id="__PRIMER_DATA_:R0:__">{"resolvedServerColorMode":"day"}</script></div> </react-partial> <input type="hidden" data-csrf="true" value="SU5Lzf3AePMblYfa0f4i06fM3WfZON9h0mHSznqiUpeU4cqrDq4Ugu0zUxXNE7YE86IhBR42VujYVnD7MqJPuw==" /> </div> <div data-view-component="true" class="Layout-sidebar"> <div class="BorderGrid about-margin" data-pjax> <div class="BorderGrid-row"> <div class="BorderGrid-cell"> <div class="hide-sm hide-md"> <h2 class="mb-3 h4">About</h2> <p class="f4 my-3"> The convertor/conversion of deep learning models for different deep learning frameworks/softwares. </p> <div class="my-3 d-flex flex-items-center"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" 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