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<!DOCTYPE html><html data-wf-domain="ml-showcase.paperspace.com" data-wf-page="5d61b594e3123dddfe457f57" data-wf-site="5d61b593e3123d0020457f53"><head><meta charset="utf-8"/><title>Gradient - ML Showcase</title><meta content="A collection of interactive Machine Learning projects curated by Paperspace Gradient." name="description"/><meta content="Gradient - ML Showcase" property="og:title"/><meta content="A collection of interactive Machine Learning projects curated by Paperspace Gradient." property="og:description"/><meta content="https://s3.amazonaws.com/ps.public.resources/Webflow-site-img.jpg" property="og:image"/><meta content="Gradient - ML Showcase" property="twitter:title"/><meta content="A collection of interactive Machine Learning projects curated by Paperspace Gradient." property="twitter:description"/><meta content="https://s3.amazonaws.com/ps.public.resources/Webflow-site-img.jpg" property="twitter:image"/><meta property="og:type" content="website"/><meta content="summary_large_image" name="twitter:card"/><meta content="width=device-width, initial-scale=1" name="viewport"/><link href="https://assets.website-files.com/5d61b593e3123d0020457f53/css/showcase-2-0.50d589cf4.css" rel="stylesheet" type="text/css"/><link href="https://fonts.googleapis.com" rel="preconnect"/><link href="https://fonts.gstatic.com" rel="preconnect" crossorigin="anonymous"/><script src="https://ajax.googleapis.com/ajax/libs/webfont/1.6.26/webfont.js" type="text/javascript"></script><script type="text/javascript">WebFont.load({ google: { families: ["Roboto:100,100italic,300,300italic,regular,italic,500,500italic,700,700italic,900,900italic"] }});</script><script type="text/javascript">!function(o,c){var n=c.documentElement,t=" w-mod-";n.className+=t+"js",("ontouchstart"in o||o.DocumentTouch&&c instanceof DocumentTouch)&&(n.className+=t+"touch")}(window,document);</script><link href="https://cdn.prod.website-files.com/5d61b593e3123d0020457f53/5d62dfc218659f41e5053839_favicon.png" rel="shortcut icon" type="image/x-icon"/><link href="https://cdn.prod.website-files.com/5d61b593e3123d0020457f53/5d62dfc5a93ad92726d0dd74_webclip.png" rel="apple-touch-icon"/><link href="https://ml-showcase.paperspace.com/" rel="canonical"/><style> body { -moz-font-feature-settings: "liga" on; -moz-osx-font-smoothing: grayscale; -webkit-font-smoothing: antialiased; font-feature-settings: "liga" on; text-rendering: optimizeLegibility; } </style> <script type="text/javascript"> var dataLayer = window.dataLayer = window.dataLayer || []; dataLayer.push({ 'useGtm': true }); </script>  <script>(function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start': new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0], j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src= 'https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f); })(window,document,'script','dataLayer','GTM-5WP6G4');</script>  <meta name="google-site-verification" content="UHfx6TDiqumV4qm3fCftJ4oOgDlXQQ3t871mVoydrrE" />  <script> !function(){var analytics=window.analytics=window.analytics||[];if(!analytics.initialize)if(analytics.invoked)window.console&&console.error&&console.error("Segment snippet included twice.");else{analytics.invoked=!0;analytics.methods=["trackSubmit","trackClick","trackLink","trackForm","pageview","identify","reset","group","track","ready","alias","debug","page","once","off","on","addSourceMiddleware","addIntegrationMiddleware","setAnonymousId","addDestinationMiddleware"];analytics.factory=function(e){return function(){var t=Array.prototype.slice.call(arguments);t.unshift(e);analytics.push(t);return analytics}};for(var e=0;e<analytics.methods.length;e++){var key=analytics.methods[e];analytics[key]=analytics.factory(key)}analytics.load=function(key,e){var t=document.createElement("script");t.type="text/javascript";t.async=!0;t.src="https://segment.paperspace.com/analytics/" + key + "/YW5hbHl0aWNzLm1pbi5qcwo=";var n=document.getElementsByTagName("script")[0];n.parentNode.insertBefore(t,n);analytics._loadOptions=e};analytics._writeKey="4Fjwc11Tyx4AzN79D0QqAuAkBZUTKvGZ";analytics._cdn="https://segment.paperspace.com";analytics.SNIPPET_VERSION="4.15.3"; analytics.load("4Fjwc11Tyx4AzN79D0QqAuAkBZUTKvGZ"); analytics.page(); }}(); </script> </head><body><div class="header"><a href="https://gradient.paperspace.com/free-gpu" target="_blank" class="announcement-bar w-inline-block"><img src="https://cdn.prod.website-files.com/5d61b593e3123d0020457f53/5d62dfc218659f41e5053839_favicon.png" alt="" class="image-22"/><div class="announcement-bar-text">Exciting news! Gradient has launched a FREE GPU plan. <strong>Read More</strong></div><img src="https://cdn.prod.website-files.com/5cad0999832adc23a260edba/5cad0999832adc34e260ee24_arrow-left-white.svg" alt="" class="right-arrow"/></a><div class="structure-cards2-topbar-wrapper home-top-bar-divided"><div class="wrap _w-custom structure-nav"><div data-collapse="medium" data-animation="default" data-duration="400" data-easing="ease" data-easing2="ease" role="banner" class="structure-menu w-nav"><div class="structure-cards-menu w-container"><a href="/" aria-current="page" class="brand w-nav-brand w--current"><img src="https://cdn.prod.website-files.com/5d61b593e3123d0020457f53/5d61bd9e5bf4d80f9523ece9_5d2d2e15b4a76d2f48382421_Asset%202%402x-p-500.png" width="133" alt="" class="nav-logo"/><div class="structure-link static">ML Showcase</div></a><nav role="navigation" class="structure-project-menu w-nav-menu"><div class="structure-menu-items"><a href="/projects" class="structure-link structure-menu-link w-nav-link">Browse projects</a><a href="https://gradient.paperspace.com/free-gpu" target="_blank" class="structure-link structure-menu-link w-nav-link">Free GPU</a><a href="/guide" class="structure-link structure-menu-link w-nav-link">guide</a><a href="https://www.paperspace.com/account/login" class="structure-link structure-menu-link log-in w-nav-link">Log in</a><a href="https://console.paperspace.com/signup?gradient=true" class="btn btn-outline-dark-blue w-button"><strong>Get Started</strong> — it's free</a></div></nav><div class="menu-button w-nav-button"><img src="https://cdn.prod.website-files.com/5d61b593e3123d0020457f53/5d61b594e3123d217b457f89_menu-icon%402x.png" width="18" alt="" class="structurenav-menu"/><div class="mobile-icon-hide w-icon-nav-menu"></div></div></div></div></div></div></div><div class="section-dark"><div class="hero6-wrap"><div class="wrap _w-custom hero6"><div class="_6-col-wide"><div data-w-id="89eaea99-a02f-6d22-b1ae-3e2443f47e7e" style="-webkit-transform:translate3d(0, 291PX, 0) scale3d(1, 0.2, 1) rotateX(-60DEG) rotateY(0) rotateZ(0) skew(0, 0);-moz-transform:translate3d(0, 291PX, 0) scale3d(1, 0.2, 1) rotateX(-60DEG) rotateY(0) rotateZ(0) skew(0, 0);-ms-transform:translate3d(0, 291PX, 0) scale3d(1, 0.2, 1) rotateX(-60DEG) rotateY(0) rotateZ(0) skew(0, 0);transform:translate3d(0, 291PX, 0) scale3d(1, 0.2, 1) rotateX(-60DEG) rotateY(0) rotateZ(0) skew(0, 0);opacity:0;transform-style:preserve-3d" class="hero6-headline-wrap"><div class="tagline">Introducing</div><h1 class="h1-jumbo">ML Showcase</h1><h1 class="h2-jumbo hero6-headline">A curated collection of interactive Machine Learning projects.</h1><div class="search-container"><form action="/search" class="relative w-form"><img src="https://cdn.prod.website-files.com/5d61c066e3123d31bd459eb4/5d61c066e3123d35fe459ed8_search.svg" alt="" class="search-icon-2"/><input class="search-bar-2 w-input" maxlength="256" name="query" placeholder="Explore the list of projects..." type="search" id="search" required=""/><input type="submit" class="search-submit-2 w-button" value="Search"/></form><div class="search-recommender">e.g. TensorFlow, RNN, CNN...</div></div></div></div><div class="_6-col-wide"><img class="hero-img" src="https://cdn.prod.website-files.com/5d61b593e3123d0020457f53/5d64248e346aae0bc47d25e8_hero4.png" width="460" alt="" style="-webkit-transform:translate3d(404PX, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0) skew(0, 0);-moz-transform:translate3d(404PX, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0) skew(0, 0);-ms-transform:translate3d(404PX, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0) skew(0, 0);transform:translate3d(404PX, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0) skew(0, 0);opacity:0" sizes="(max-width: 991px) 100vw, 43vw" data-w-id="fc8a0ed6-9497-4233-da28-0af464d71a65" srcset="https://assets.website-files.com/5d61b593e3123d0020457f53/5d64248e346aae0bc47d25e8_hero4-p-500.png 500w, https://assets.website-files.com/5d61b593e3123d0020457f53/5d64248e346aae0bc47d25e8_hero4.png 920w"/></div></div></div></div><div class="section grey"><div class="wrap w50-80-start"><div class="_6-col"><div class="content5-headline-wrapper"><h1 class="h1-jumbo">Discover and run the latest ML models.</h1></div></div><div class="_6-col _6-col-last"><div class="content5-description"><p class="text-16 text-16-60">Get started in seconds with a zero-setup Jupyter Notebook environment that runs on free GPUs and a large repository of pre-configured ML projects. Discover and fork a range of projects in popular areas such as object detection, GANs, text-to-speech, reinforcement learning, and more.<br/><br/>With the Gradient ML Showcase, you’ll have a pre-configured compute environment that "just works" and the code you need to do your academic and professional work.<br/></p></div></div></div></div><div class="section"><div class="wrap regular large-space"><div class="h2-container"><h2 class="h2"><span class="text-span">Featured: </span> A selection of the most popular projects.</h2></div><div class="collection-list-wrapper w-dyn-list"><div role="list" class="collection-list w-dyn-items w-row"><div role="listitem" class="collection-item w-dyn-item w-col w-col-4"><div class="collection-item-card"><div class="collection-item-bg"></div><a style="background-image:url("https://cdn.prod.website-files.com/5d61c69f45d893b46d52758f/5d9138c9e6be5831a0532f38_Screenshot_561.jpg")" href="/projects/variational-autoencoder-vae" class="link-block w-inline-block"><div class="inner"><div class="card-highlight"></div><div class="feature-icon"><img src="https://cdn.prod.website-files.com/plugins/Image/assets/placeholder.60f9b1840c.svg" alt="" class="image-6"/></div><h3 class="h3 tile">Generate Images with a Variational Autoencoder (VAE)</h3><p class="paragraph cc-gray tiledescription">Using Keras and the fashion-MNIST dataset to generate images with a VAE</p><ul role="list" class="categories w-list-unstyled"><li class="categoryitem">Autoencoder</li></ul></div></a></div></div><div role="listitem" class="collection-item w-dyn-item w-col w-col-4"><div class="collection-item-card"><div class="collection-item-bg"></div><a style="background-image:url("https://cdn.prod.website-files.com/5d61c69f45d893b46d52758f/5d9ec4f79a3ac6b9540cf26e_Screenshot_580.jpg")" href="/projects/simple-edge-detection-with-opencv" class="link-block w-inline-block"><div class="inner"><div class="card-highlight"></div><div class="feature-icon"><img src="https://cdn.prod.website-files.com/plugins/Image/assets/placeholder.60f9b1840c.svg" alt="" class="image-6"/></div><h3 class="h3 tile">Simple Edge Detection with OpenCV</h3><p class="paragraph cc-gray tiledescription">Finding edges of the images using Canny edge detector</p><ul role="list" class="categories w-list-unstyled"><li class="categoryitem">OpenCV</li></ul></div></a></div></div><div role="listitem" class="collection-item w-dyn-item w-col w-col-4"><div class="collection-item-card"><div class="collection-item-bg"></div><a style="background-image:url("https://cdn.prod.website-files.com/5d61c69f45d893b46d52758f/5e870d6b47674eb04b205ac4_12.0-min.png")" href="/projects/gaugan" class="link-block w-inline-block"><div class="inner"><div class="card-highlight"></div><div class="feature-icon"><img src="https://cdn.prod.website-files.com/plugins/Image/assets/placeholder.60f9b1840c.svg" alt="" class="image-6"/></div><h3 class="h3 tile">GauGAN</h3><p class="paragraph cc-gray tiledescription">Adapt GauGAN for your own data</p><ul role="list" class="categories w-list-unstyled"><li class="categoryitem">GAN</li></ul></div></a></div></div></div></div><div class="row browseallcta"><a href="/projects" class="button cc-cta ctasmall w-button">Browse all Projects</a></div></div></div><div class="new-projects-cta"><div class="project-header-container cc-center"><div class="h2-container-2 cc-center"><h2 class="h2-2 cc-center"><span class="text-span"><strong>New projects welcome.</strong></span> Submit your public project for review. If the project is selected, you will receive credit on the project page.</h2><a href="https://blog.paperspace.com/write-for-paperspace/" class="button cc-cta ctasmall w-button">Submit your project</a></div></div></div><div id="quickstart" class="quickstart"><div class="project-header-container cc-cta quick-start-guide"><div class="cta-column left"><div class="cta-left-top"><div class="h3 cc-cta">Get Started Guide</div><div class="cta-line"></div></div><ul role="list" class="list quick-start"><li class="quick-start-list"><strong class="bold-text">1. Find a project</strong></li><li class="list-item quick-start">Browse projects based on their type and category. Open the project in Gradient to explore the result.</li><li class="quick-start-list"><strong>2. Explore & run</strong></li><li class="list-item quick-start">Start by cloning the project. Then try running it in your own account on a free GPU! Note: You must be logged-in to clone the project.</li><li class="quick-start-list"><strong class="bold-text-2">3. Modify & share</strong></li><li class="list-item quick-start">Try adjusting different parameters to improve the results. Share your projects by inviting friends and colleagues.</li></ul></div><div class="cta-column quick-start"><img src="https://cdn.prod.website-files.com/5d61b593e3123d0020457f53/5d63363345d893b7255782be_quick-start.png" alt="" sizes="(max-width: 479px) 82vw, (max-width: 767px) 88vw, (max-width: 991px) 42vw, 52vw" srcset="https://assets.website-files.com/5d61b593e3123d0020457f53/5d63363345d893b7255782be_quick-start-p-500.png 500w, https://assets.website-files.com/5d61b593e3123d0020457f53/5d63363345d893b7255782be_quick-start-p-800.png 800w, https://assets.website-files.com/5d61b593e3123d0020457f53/5d63363345d893b7255782be_quick-start.png 956w" class="laptop-img"/></div></div></div><div class="about"><div class="row"><div class="project-header-container cc-center"><div class="h2-container-2 cc-center"><h1 class="heading-centered">About Gradient</h1><h2 class="h2-2 cc-center"><span class="text-span"><strong>A Deep Learning platform built for developers. </strong></span> From exploration to 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