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0v-2a1 1 0 0 1 1-1Zm-5 0a1 1 0 0 1 1 1v2a1 1 0 0 1-2 0v-2a1 1 0 0 1 1-1Z"></path> </svg> <div> <div class="color-fg-default h4">GitHub Copilot</div> Write better code with AI </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{"location":"navbar","action":"security","context":"product","tag":"link","label":"security_link_product_navbar"}" href="https://github.com/features/security"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-shield-check color-fg-subtle mr-3"> <path d="M16.53 9.78a.75.75 0 0 0-1.06-1.06L11 13.19l-1.97-1.97a.75.75 0 0 0-1.06 1.06l2.5 2.5a.75.75 0 0 0 1.06 0l5-5Z"></path><path d="m12.54.637 8.25 2.675A1.75 1.75 0 0 1 22 4.976V10c0 6.19-3.771 10.704-9.401 12.83a1.704 1.704 0 0 1-1.198 0C5.77 20.705 2 16.19 2 10V4.976c0-.758.489-1.43 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1.75 0 0 1-1.75-1.75Zm-2 12c0-.966.784-1.75 1.75-1.75h17.5c.966 0 1.75.784 1.75 1.75v4a1.75 1.75 0 0 1-1.75 1.75H3.25a1.75 1.75 0 0 1-1.75-1.75ZM5.25 3.5a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h13.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25Zm-2 12a.25.25 0 0 0-.25.25v4c0 .138.112.25.25.25h17.5a.25.25 0 0 0 .25-.25v-4a.25.25 0 0 0-.25-.25Z"></path><path d="M10 17.75a.75.75 0 0 1 .75-.75h6.5a.75.75 0 0 1 0 1.5h-6.5a.75.75 0 0 1-.75-.75Zm-4 0a.75.75 0 0 1 .75-.75h.5a.75.75 0 0 1 0 1.5h-.5a.75.75 0 0 1-.75-.75Z"></path> </svg> <div> <div class="color-fg-default h4">Codespaces</div> Instant dev environments </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{"location":"navbar","action":"issues","context":"product","tag":"link","label":"issues_link_product_navbar"}" href="https://github.com/features/issues"> <svg aria-hidden="true" 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6.74a.75.75 0 0 1-.04 1.06l-2.908 2.7 2.908 2.7a.75.75 0 1 1-1.02 1.1l-3.5-3.25a.75.75 0 0 1 0-1.1l3.5-3.25a.75.75 0 0 1 1.06.04Zm3.44 1.06a.75.75 0 1 1 1.02-1.1l3.5 3.25a.75.75 0 0 1 0 1.1l-3.5 3.25a.75.75 0 1 1-1.02-1.1l2.908-2.7-2.908-2.7Z"></path><path d="M1.5 4.25c0-.966.784-1.75 1.75-1.75h17.5c.966 0 1.75.784 1.75 1.75v12.5a1.75 1.75 0 0 1-1.75 1.75h-9.69l-3.573 3.573A1.458 1.458 0 0 1 5 21.043V18.5H3.25a1.75 1.75 0 0 1-1.75-1.75ZM3.25 4a.25.25 0 0 0-.25.25v12.5c0 .138.112.25.25.25h2.5a.75.75 0 0 1 .75.75v3.19l3.72-3.72a.749.749 0 0 1 .53-.22h10a.25.25 0 0 0 .25-.25V4.25a.25.25 0 0 0-.25-.25Z"></path> </svg> <div> <div class="color-fg-default h4">Code Review</div> Manage code changes </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" 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js-header-menu-item"> <button type="button" class="HeaderMenu-link border-0 width-full width-lg-auto px-0 px-lg-2 py-lg-2 no-wrap d-flex flex-items-center flex-justify-between js-details-target" aria-expanded="false"> Solutions <svg opacity="0.5" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-chevron-down HeaderMenu-icon ml-1"> <path d="M12.78 5.22a.749.749 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.06 0L3.22 6.28a.749.749 0 1 1 1.06-1.06L8 8.939l3.72-3.719a.749.749 0 0 1 1.06 0Z"></path> </svg> </button> <div class="HeaderMenu-dropdown dropdown-menu rounded m-0 p-0 pt-2 pt-lg-4 position-relative position-lg-absolute left-0 left-lg-n3 d-lg-flex flex-wrap dropdown-menu-wide"> <div class="HeaderMenu-column px-lg-4 border-lg-right mb-4 mb-lg-0 pr-lg-7"> <div class="border-bottom pb-3 pb-lg-0 border-lg-bottom-0 pb-lg-3 mb-3 mb-lg-0"> <span class="d-block h4 color-fg-default my-1" id="solutions-by-company-size-heading">By company size</span> <ul class="list-style-none f5" aria-labelledby="solutions-by-company-size-heading"> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"enterprises","context":"solutions","tag":"link","label":"enterprises_link_solutions_navbar"}" href="https://github.com/enterprise"> Enterprises </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"small_and_medium_teams","context":"solutions","tag":"link","label":"small_and_medium_teams_link_solutions_navbar"}" href="https://github.com/team"> Small and medium teams </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"startups","context":"solutions","tag":"link","label":"startups_link_solutions_navbar"}" href="https://github.com/enterprise/startups"> Startups </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"nonprofits","context":"solutions","tag":"link","label":"nonprofits_link_solutions_navbar"}" href="/solutions/industry/nonprofits"> Nonprofits </a></li> </ul> </div> <div class="border-bottom pb-3 pb-lg-0 border-lg-bottom-0"> <span class="d-block h4 color-fg-default my-1" id="solutions-by-use-case-heading">By use case</span> <ul class="list-style-none f5" aria-labelledby="solutions-by-use-case-heading"> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"devsecops","context":"solutions","tag":"link","label":"devsecops_link_solutions_navbar"}" href="/solutions/use-case/devsecops"> DevSecOps </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"devops","context":"solutions","tag":"link","label":"devops_link_solutions_navbar"}" href="/solutions/use-case/devops"> DevOps </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"ci_cd","context":"solutions","tag":"link","label":"ci_cd_link_solutions_navbar"}" href="/solutions/use-case/ci-cd"> CI/CD </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"view_all_use_cases","context":"solutions","tag":"link","label":"view_all_use_cases_link_solutions_navbar"}" href="/solutions/use-case"> View all use cases </a></li> </ul> </div> </div> <div class="HeaderMenu-column px-lg-4"> <div class="border-bottom pb-3 pb-lg-0 border-lg-bottom-0"> <span class="d-block h4 color-fg-default my-1" id="solutions-by-industry-heading">By industry</span> <ul class="list-style-none f5" aria-labelledby="solutions-by-industry-heading"> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"healthcare","context":"solutions","tag":"link","label":"healthcare_link_solutions_navbar"}" href="/solutions/industry/healthcare"> Healthcare </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"financial_services","context":"solutions","tag":"link","label":"financial_services_link_solutions_navbar"}" href="/solutions/industry/financial-services"> Financial services </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"manufacturing","context":"solutions","tag":"link","label":"manufacturing_link_solutions_navbar"}" href="/solutions/industry/manufacturing"> Manufacturing </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"government","context":"solutions","tag":"link","label":"government_link_solutions_navbar"}" href="/solutions/industry/government"> Government </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"view_all_industries","context":"solutions","tag":"link","label":"view_all_industries_link_solutions_navbar"}" href="/solutions/industry"> View all industries </a></li> </ul> </div> </div> <div class="HeaderMenu-trailing-link rounded-bottom-2 flex-shrink-0 mt-lg-4 px-lg-4 py-4 py-lg-3 f5 text-semibold"> <a href="/solutions"> View all solutions <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-chevron-right HeaderMenu-trailing-link-icon"> <path d="M6.22 3.22a.75.75 0 0 1 1.06 0l4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L9.94 8 6.22 4.28a.75.75 0 0 1 0-1.06Z"></path> </svg> </a> </div> </div> </li> <li class="HeaderMenu-item position-relative flex-wrap flex-justify-between flex-items-center d-block d-lg-flex flex-lg-nowrap flex-lg-items-center js-details-container js-header-menu-item"> <button type="button" class="HeaderMenu-link border-0 width-full width-lg-auto px-0 px-lg-2 py-lg-2 no-wrap d-flex flex-items-center flex-justify-between js-details-target" aria-expanded="false"> Resources <svg opacity="0.5" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-chevron-down HeaderMenu-icon ml-1"> <path d="M12.78 5.22a.749.749 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.06 0L3.22 6.28a.749.749 0 1 1 1.06-1.06L8 8.939l3.72-3.719a.749.749 0 0 1 1.06 0Z"></path> </svg> </button> <div class="HeaderMenu-dropdown dropdown-menu rounded m-0 p-0 pt-2 pt-lg-4 position-relative position-lg-absolute left-0 left-lg-n3 pb-2 pb-lg-4 d-lg-flex flex-wrap dropdown-menu-wide"> <div class="HeaderMenu-column px-lg-4 border-lg-right mb-4 mb-lg-0 pr-lg-7"> <div class="border-bottom pb-3 pb-lg-0 border-lg-bottom-0"> <span class="d-block h4 color-fg-default my-1" id="resources-topics-heading">Topics</span> <ul class="list-style-none f5" aria-labelledby="resources-topics-heading"> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"ai","context":"resources","tag":"link","label":"ai_link_resources_navbar"}" href="/resources/articles/ai"> AI </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"devops","context":"resources","tag":"link","label":"devops_link_resources_navbar"}" href="/resources/articles/devops"> DevOps </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"security","context":"resources","tag":"link","label":"security_link_resources_navbar"}" href="/resources/articles/security"> Security </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"software_development","context":"resources","tag":"link","label":"software_development_link_resources_navbar"}" href="/resources/articles/software-development"> Software Development </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"view_all","context":"resources","tag":"link","label":"view_all_link_resources_navbar"}" href="/resources/articles"> View all </a></li> </ul> </div> </div> <div class="HeaderMenu-column px-lg-4"> <div class="border-bottom pb-3 pb-lg-0 border-lg-bottom-0 border-bottom-0"> <span class="d-block h4 color-fg-default my-1" id="resources-explore-heading">Explore</span> <ul class="list-style-none f5" aria-labelledby="resources-explore-heading"> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary Link--external" target="_blank" data-analytics-event="{"location":"navbar","action":"learning_pathways","context":"resources","tag":"link","label":"learning_pathways_link_resources_navbar"}" href="https://resources.github.com/learn/pathways"> Learning Pathways <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-link-external HeaderMenu-external-icon color-fg-subtle"> <path d="M3.75 2h3.5a.75.75 0 0 1 0 1.5h-3.5a.25.25 0 0 0-.25.25v8.5c0 .138.112.25.25.25h8.5a.25.25 0 0 0 .25-.25v-3.5a.75.75 0 0 1 1.5 0v3.5A1.75 1.75 0 0 1 12.25 14h-8.5A1.75 1.75 0 0 1 2 12.25v-8.5C2 2.784 2.784 2 3.75 2Zm6.854-1h4.146a.25.25 0 0 1 .25.25v4.146a.25.25 0 0 1-.427.177L13.03 4.03 9.28 7.78a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042l3.75-3.75-1.543-1.543A.25.25 0 0 1 10.604 1Z"></path> </svg> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary Link--external" target="_blank" data-analytics-event="{"location":"navbar","action":"events_amp_webinars","context":"resources","tag":"link","label":"events_amp_webinars_link_resources_navbar"}" href="https://resources.github.com"> Events & Webinars <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-link-external HeaderMenu-external-icon color-fg-subtle"> <path d="M3.75 2h3.5a.75.75 0 0 1 0 1.5h-3.5a.25.25 0 0 0-.25.25v8.5c0 .138.112.25.25.25h8.5a.25.25 0 0 0 .25-.25v-3.5a.75.75 0 0 1 1.5 0v3.5A1.75 1.75 0 0 1 12.25 14h-8.5A1.75 1.75 0 0 1 2 12.25v-8.5C2 2.784 2.784 2 3.75 2Zm6.854-1h4.146a.25.25 0 0 1 .25.25v4.146a.25.25 0 0 1-.427.177L13.03 4.03 9.28 7.78a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042l3.75-3.75-1.543-1.543A.25.25 0 0 1 10.604 1Z"></path> </svg> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"ebooks_amp_whitepapers","context":"resources","tag":"link","label":"ebooks_amp_whitepapers_link_resources_navbar"}" href="https://github.com/resources/whitepapers"> Ebooks & Whitepapers </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"customer_stories","context":"resources","tag":"link","label":"customer_stories_link_resources_navbar"}" href="https://github.com/customer-stories"> Customer Stories </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary Link--external" target="_blank" data-analytics-event="{"location":"navbar","action":"partners","context":"resources","tag":"link","label":"partners_link_resources_navbar"}" href="https://partner.github.com"> Partners <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-link-external HeaderMenu-external-icon color-fg-subtle"> <path d="M3.75 2h3.5a.75.75 0 0 1 0 1.5h-3.5a.25.25 0 0 0-.25.25v8.5c0 .138.112.25.25.25h8.5a.25.25 0 0 0 .25-.25v-3.5a.75.75 0 0 1 1.5 0v3.5A1.75 1.75 0 0 1 12.25 14h-8.5A1.75 1.75 0 0 1 2 12.25v-8.5C2 2.784 2.784 2 3.75 2Zm6.854-1h4.146a.25.25 0 0 1 .25.25v4.146a.25.25 0 0 1-.427.177L13.03 4.03 9.28 7.78a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042l3.75-3.75-1.543-1.543A.25.25 0 0 1 10.604 1Z"></path> </svg> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"executive_insights","context":"resources","tag":"link","label":"executive_insights_link_resources_navbar"}" href="https://github.com/solutions/executive-insights"> Executive Insights </a></li> </ul> </div> </div> </div> </li> <li class="HeaderMenu-item position-relative flex-wrap flex-justify-between flex-items-center d-block d-lg-flex flex-lg-nowrap flex-lg-items-center js-details-container js-header-menu-item"> <button type="button" class="HeaderMenu-link border-0 width-full width-lg-auto px-0 px-lg-2 py-lg-2 no-wrap d-flex flex-items-center flex-justify-between js-details-target" aria-expanded="false"> Open Source <svg opacity="0.5" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-chevron-down HeaderMenu-icon ml-1"> <path d="M12.78 5.22a.749.749 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.06 0L3.22 6.28a.749.749 0 1 1 1.06-1.06L8 8.939l3.72-3.719a.749.749 0 0 1 1.06 0Z"></path> </svg> </button> <div class="HeaderMenu-dropdown dropdown-menu rounded m-0 p-0 pt-2 pt-lg-4 position-relative position-lg-absolute left-0 left-lg-n3 pb-2 pb-lg-4 px-lg-4"> <div class="HeaderMenu-column"> <div class="border-bottom pb-3 pb-lg-0 pb-lg-3 mb-3 mb-lg-0 mb-lg-3"> <ul class="list-style-none f5" > <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description" data-analytics-event="{"location":"navbar","action":"github_sponsors","context":"open_source","tag":"link","label":"github_sponsors_link_open_source_navbar"}" href="/sponsors"> <div> <div class="color-fg-default h4">GitHub Sponsors</div> Fund open source developers </div> </a></li> </ul> </div> <div class="border-bottom pb-3 pb-lg-0 pb-lg-3 mb-3 mb-lg-0 mb-lg-3"> <ul class="list-style-none f5" > <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description" data-analytics-event="{"location":"navbar","action":"the_readme_project","context":"open_source","tag":"link","label":"the_readme_project_link_open_source_navbar"}" href="https://github.com/readme"> <div> <div class="color-fg-default h4">The ReadME Project</div> GitHub community articles </div> </a></li> </ul> </div> <div class="border-bottom pb-3 pb-lg-0 border-bottom-0"> <span class="d-block h4 color-fg-default my-1" id="open-source-repositories-heading">Repositories</span> <ul class="list-style-none f5" aria-labelledby="open-source-repositories-heading"> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"topics","context":"open_source","tag":"link","label":"topics_link_open_source_navbar"}" href="https://github.com/topics"> Topics </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"trending","context":"open_source","tag":"link","label":"trending_link_open_source_navbar"}" href="https://github.com/trending"> Trending </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"collections","context":"open_source","tag":"link","label":"collections_link_open_source_navbar"}" href="https://github.com/collections"> Collections </a></li> </ul> </div> </div> </div> </li> <li class="HeaderMenu-item position-relative flex-wrap flex-justify-between flex-items-center d-block d-lg-flex flex-lg-nowrap flex-lg-items-center js-details-container js-header-menu-item"> <button type="button" class="HeaderMenu-link border-0 width-full width-lg-auto px-0 px-lg-2 py-lg-2 no-wrap d-flex flex-items-center flex-justify-between js-details-target" aria-expanded="false"> Enterprise <svg opacity="0.5" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-chevron-down HeaderMenu-icon ml-1"> <path d="M12.78 5.22a.749.749 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.06 0L3.22 6.28a.749.749 0 1 1 1.06-1.06L8 8.939l3.72-3.719a.749.749 0 0 1 1.06 0Z"></path> </svg> </button> <div class="HeaderMenu-dropdown dropdown-menu rounded m-0 p-0 pt-2 pt-lg-4 position-relative position-lg-absolute left-0 left-lg-n3 pb-2 pb-lg-4 px-lg-4"> <div class="HeaderMenu-column"> <div class="border-bottom pb-3 pb-lg-0 pb-lg-3 mb-3 mb-lg-0 mb-lg-3"> <ul class="list-style-none f5" > <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description" data-analytics-event="{"location":"navbar","action":"enterprise_platform","context":"enterprise","tag":"link","label":"enterprise_platform_link_enterprise_navbar"}" href="/enterprise"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-stack color-fg-subtle mr-3"> <path d="M11.063 1.456a1.749 1.749 0 0 1 1.874 0l8.383 5.316a1.751 1.751 0 0 1 0 2.956l-8.383 5.316a1.749 1.749 0 0 1-1.874 0L2.68 9.728a1.751 1.751 0 0 1 0-2.956Zm1.071 1.267a.25.25 0 0 0-.268 0L3.483 8.039a.25.25 0 0 0 0 .422l8.383 5.316a.25.25 0 0 0 .268 0l8.383-5.316a.25.25 0 0 0 0-.422Z"></path><path d="M1.867 12.324a.75.75 0 0 1 1.035-.232l8.964 5.685a.25.25 0 0 0 .268 0l8.964-5.685a.75.75 0 0 1 .804 1.267l-8.965 5.685a1.749 1.749 0 0 1-1.874 0l-8.965-5.685a.75.75 0 0 1-.231-1.035Z"></path><path d="M1.867 16.324a.75.75 0 0 1 1.035-.232l8.964 5.685a.25.25 0 0 0 .268 0l8.964-5.685a.75.75 0 0 1 .804 1.267l-8.965 5.685a1.749 1.749 0 0 1-1.874 0l-8.965-5.685a.75.75 0 0 1-.231-1.035Z"></path> </svg> <div> <div class="color-fg-default h4">Enterprise platform</div> AI-powered developer platform </div> </a></li> </ul> </div> <div class="border-bottom pb-3 pb-lg-0 border-bottom-0"> <span class="d-block h4 color-fg-default my-1" id="enterprise-available-add-ons-heading">Available add-ons</span> <ul class="list-style-none f5" aria-labelledby="enterprise-available-add-ons-heading"> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex 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data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":2169,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="a96862b33f93abfaa0ad1ae602b7c627714f88ff329ca09a20eb9f2de70c6c40" title="Topic: machine-learning" href="/topics/machine-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">machine-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":2170,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="3538ff45d565bf4cdca001c1fc55758e645ce4f4396f182e592ea9444c8352fe" title="Topic: natural-language-processing" href="/topics/natural-language-processing" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">natural-language-processing</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":2171,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="dcf26a57e4713c0275208f17c90eb4d4a0db8325a732e996b85867c3920a1689" title="Topic: information-retrieval" href="/topics/information-retrieval" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">information-retrieval</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":2289,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="24cb698b6c728499ce6d7bdaead208d3a5db456267cc1bbbf9937072267036af" title="Topic: data-mining" href="/topics/data-mining" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">data-mining</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9627,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="97cc76100c5a268fdcfaeddc9d13c47cc5391ed6a98b8022eb3c1b5ea225c763" title="Topic: neural-network" href="/topics/neural-network" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">neural-network</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":13462,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="6d3cb2f1701b4e3a3cf90cdb12ebff5c9b4574065b1c0895a7792a1edfb00461" title="Topic: word2vec" href="/topics/word2vec" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">word2vec</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":17205,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="ae581bba3c10fa5759511171b640847b31bf7c413d318be7c8b6d7b455cf4f81" title="Topic: word-embeddings" href="/topics/word-embeddings" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">word-embeddings</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":60988,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="dfe54e4f286f12bf0b6176d52a8cacf04908d7a02d05379974f73541a9485d42" title="Topic: topic-modeling" href="/topics/topic-modeling" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">topic-modeling</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":65434,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="e1aa57e3e2f97d10e8acbd9f93a07b99d1d65b9ac3d84a167a235e0737f9bf67" title="Topic: gensim" href="/topics/gensim" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">gensim</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":138950,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="e824a174144b1298ed85209427a290c3a25a26d30fae0767f24d0b9159a8da67" title="Topic: fasttext" href="/topics/fasttext" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">fasttext</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":365322,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="7776fadbe8f8c7c7cc2f98e85a50e2e2a196de3d939a39a1765f3d8065b30255" title="Topic: document-similarity" href="/topics/document-similarity" data-view-component="true" class="topic-tag 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data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":167,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="3080a9f17ff88a645b8ce242bd945fd3d13071722e7935b0535ba445a1933bba" title="Topic: nlp" href="/topics/nlp" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">nlp</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":2169,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="a96862b33f93abfaa0ad1ae602b7c627714f88ff329ca09a20eb9f2de70c6c40" title="Topic: machine-learning" href="/topics/machine-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">machine-learning</a> <a 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height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-git-pull-request color-fg-muted"> <path d="M1.5 3.25a2.25 2.25 0 1 1 3 2.122v5.256a2.251 2.251 0 1 1-1.5 0V5.372A2.25 2.25 0 0 1 1.5 3.25Zm5.677-.177L9.573.677A.25.25 0 0 1 10 .854V2.5h1A2.5 2.5 0 0 1 13.5 5v5.628a2.251 2.251 0 1 1-1.5 0V5a1 1 0 0 0-1-1h-1v1.646a.25.25 0 0 1-.427.177L7.177 3.427a.25.25 0 0 1 0-.354ZM3.75 2.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm0 9.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm8.25.75a.75.75 0 1 0 1.5 0 .75.75 0 0 0-1.5 0Z"></path> </svg> Pull requests </a></li> </ul> </nav> <div class="color-bg-default rounded-bottom-2"> <div class="px-3 pt-3"> <p class="color-fg-muted mb-0" >Top2Vec learns jointly embedded topic, document and word vectors.</p> </div> <div class="d-flex flex-wrap border-bottom color-border-muted px-3 pt-2 pb-2"> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":17205,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="ae581bba3c10fa5759511171b640847b31bf7c413d318be7c8b6d7b455cf4f81" title="Topic: word-embeddings" href="/topics/word-embeddings" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">word-embeddings</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":60988,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="dfe54e4f286f12bf0b6176d52a8cacf04908d7a02d05379974f73541a9485d42" title="Topic: topic-modeling" href="/topics/topic-modeling" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">topic-modeling</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":196151,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="47ce28be977d3595cf106c536346676bce9faeaff81b48285ea752a3d164abe1" title="Topic: semantic-search" href="/topics/semantic-search" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">semantic-search</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":243705,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="5c7342df9699f81e7662c45aacaf26765eb5e283ac861d91a320cd25fd05736e" title="Topic: bert" href="/topics/bert" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">bert</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":362210,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="695e44e2067e8f06d212f77394a697bb7278c9bd1445a83bdc1041ff5151ec46" title="Topic: text-search" href="/topics/text-search" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">text-search</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":373700,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="86a4587de6f1ec4a5175c29bf4a98d3bad1e0e4448e2f36792f31025eaab32b9" title="Topic: topic-search" href="/topics/topic-search" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">topic-search</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":499586,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="14a64f53249851d33961941245825ce8b98a1445263eb9979de0c5e045ce0134" title="Topic: document-embedding" href="/topics/document-embedding" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">document-embedding</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":777941,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="41b87edc0d322f5d4f984e547f34cccb11041c6cb6b0f59039c07f343e73ef14" title="Topic: topic-modelling" href="/topics/topic-modelling" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">topic-modelling</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":805920,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="2e396d289f398c0b2f211ea28b4d5682c350424e81e892377ec6c683d5b8cb44" title="Topic: text-semantic-similarity" href="/topics/text-semantic-similarity" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">text-semantic-similarity</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":950135,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="db7a565adb7bdaab2bd0b2b2cec63cd16f025ea9a4eb22f3e8ffc76dfd58b9cc" title="Topic: sentence-encoder" href="/topics/sentence-encoder" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">sentence-encoder</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":1065512,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="7eb80e9b5bc7ac07e545c1eb65c117768a7c7bc71c9358b3894ce5f583d0f3cf" title="Topic: pre-trained-language-models" href="/topics/pre-trained-language-models" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">pre-trained-language-models</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":1160104,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="cc30b9a70b69b1c7567b5cb8703a991a1901c13ed5f4c9af2a2ad118ffc18e0c" title="Topic: topic-vector" href="/topics/topic-vector" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">topic-vector</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":1239383,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="04d1b753c4d31d4bc52310e11534724253f22a16aa91571a196fcd83b992275a" title="Topic: sentence-transformers" href="/topics/sentence-transformers" data-view-component="true" class="topic-tag 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class="topic-tag topic-tag-link Link f6 mb-2">text-mining</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":13462,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="6d3cb2f1701b4e3a3cf90cdb12ebff5c9b4574065b1c0895a7792a1edfb00461" title="Topic: word2vec" href="/topics/word2vec" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">word2vec</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":13874,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="46d4314f9ec55a78f3245c1e55a34509c2be544642d3ab5c01292c9bcf951643" title="Topic: exploratory-data-analysis" href="/topics/exploratory-data-analysis" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">exploratory-data-analysis</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":17205,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="ae581bba3c10fa5759511171b640847b31bf7c413d318be7c8b6d7b455cf4f81" title="Topic: word-embeddings" href="/topics/word-embeddings" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">word-embeddings</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":20891,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="06c0d1d3c1e369c7057e08f34c0f48815d95c086565719639736f7ac0af98f2d" title="Topic: sentiment" href="/topics/sentiment" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">sentiment</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":22146,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="b07c173038bcfec570df1631fab25eba50702448dfa1e468cc29200a9abc6c3d" title="Topic: eda" href="/topics/eda" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">eda</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":60988,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="dfe54e4f286f12bf0b6176d52a8cacf04908d7a02d05379974f73541a9485d42" title="Topic: topic-modeling" href="/topics/topic-modeling" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">topic-modeling</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":72664,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="f9f520bb6a05e6b4ad31522972ec071d90e52d28553d9a1c4f93acdab6286dfa" title="Topic: scatter-plot" href="/topics/scatter-plot" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">scatter-plot</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":105620,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="109e0db64ff83ef1c433b9aa2e498df061ca98e09d321fed6e54c2792de5dc2f" title="Topic: japanese-language" href="/topics/japanese-language" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">japanese-language</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":223995,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="184217a334a05935125024bed2414b2327458cabc5b55b63da78290e363c02bd" title="Topic: stylometry" href="/topics/stylometry" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">stylometry</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":376954,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="9d90ebca3f3d8d1f937f7f529b7fe1b3603f193d7b1ade034f7d759ed36d196a" title="Topic: computational-social-science" href="/topics/computational-social-science" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">computational-social-science</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":503238,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="d6265d4b78a2d1fb33b0e07505e45533c9ecf14391d1576cee61212d1809040b" title="Topic: text-visualization" href="/topics/text-visualization" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">text-visualization</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":527279,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="fa20307fa0f14e8245872efa1e3a928f920682b0f5da18474af67b2d9e7d1953" title="Topic: text-as-data" href="/topics/text-as-data" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">text-as-data</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":570084,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="abc60f92cc6f2262c131fe3ce2b3ed873783c2b8af105fd325c496ce706b8cba" title="Topic: stylometric" href="/topics/stylometric" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">stylometric</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":1107155,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="248b2c8d91839c6d30c6fafa70d99f010cd8b8be1e587ff341d633f2c5f1d2a6" title="Topic: semiotic-squares" href="/topics/semiotic-squares" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">semiotic-squares</a> </div> <div class="p-3"> <ul class="d-flex f6 list-style-none color-fg-muted"> <li class="mr-4"> Updated <relative-time datetime="2024-09-23T05:24:52Z" class="no-wrap">Sep 23, 2024</relative-time> </li> <li class="mr-4"> <span class="f6 my-1 ml-0"> <span class="repo-language-color" style="background-color: #3572A5"></span> <span itemprop="programmingLanguage">Python</span> </span> </li> </ul> </div> </div> </article> <article class="border rounded color-shadow-small color-bg-subtle my-4"> <div class="px-3"> <div class="d-flex flex-justify-between flex-items-start flex-wrap gap-2 my-3"> <div class="d-flex flex-1"> <span style="margin-top:2px"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo color-fg-muted mr-2"> <path d="M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z"></path> </svg> </span> <h3 class="f3 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data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":84,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="a2e84a7eb914b07002331b9656e598728b78887ec1e99aa830596812dceb6d9b" title="Topic: python" href="/topics/python" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">python</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9377,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="57297bb078458190e3c01417f2bc945cddb620c208070d483ff9ca5419b2334d" title="Topic: time-series" href="/topics/time-series" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">time-series</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":22808,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="0e73175baf0e5cc8bcdad7e9cc67bbc2324d49ffee2d7058091d95ee563a1ef1" title="Topic: data-visualization" href="/topics/data-visualization" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">data-visualization</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":22826,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="4f4bbe208e2f9c5e0df2d83a9c442c1459105a3701b474f43e1e16e44ab2958f" title="Topic: high-dimensional-data" href="/topics/high-dimensional-data" data-view-component="true" 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0-1-1h-1v1.646a.25.25 0 0 1-.427.177L7.177 3.427a.25.25 0 0 1 0-.354ZM3.75 2.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm0 9.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm8.25.75a.75.75 0 1 0 1.5 0 .75.75 0 0 0-1.5 0Z"></path> </svg> Pull requests </a></li> </ul> </nav> <div class="color-bg-default rounded-bottom-2"> <div class="px-3 pt-3"> <p class="color-fg-muted mb-0" >A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.). </p> </div> <div class="d-flex flex-wrap border-bottom color-border-muted px-3 pt-2 pb-2"> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":167,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="3080a9f17ff88a645b8ce242bd945fd3d13071722e7935b0535ba445a1933bba" title="Topic: nlp" href="/topics/nlp" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">nlp</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":23886,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="9f5b4df323f5770a9c98d711aa7eb8106499982b09b5679b16b65b4dec7f468c" title="Topic: embeddings" href="/topics/embeddings" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">embeddings</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":35047,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="ac43c9f7afcd0d375e24d001b6d7b53e5577b23449cc1b36b88de34fb8294a3c" title="Topic: transformer" href="/topics/transformer" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">transformer</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":60988,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="dfe54e4f286f12bf0b6176d52a8cacf04908d7a02d05379974f73541a9485d42" 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data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":371852,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="469a5cbac69772be1592d614410747980da669f1456a947511b4a0064c9077b3" title="Topic: neural-topic-models" href="/topics/neural-topic-models" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">neural-topic-models</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":527279,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="fa20307fa0f14e8245872efa1e3a928f920682b0f5da18474af67b2d9e7d1953" title="Topic: text-as-data" href="/topics/text-as-data" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">text-as-data</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":540592,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="e646096fb57c43b168e1604f5632cec3aab990a553772d26938d5e63717dcbdb" title="Topic: topic-coherence" href="/topics/topic-coherence" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">topic-coherence</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":1021974,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="1bbb423c8269dde3b208a132fd37de9f5ff446a508172bc13633a1d7d9acdbb9" title="Topic: multilingual-topic-models" href="/topics/multilingual-topic-models" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">multilingual-topic-models</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":1097680,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="4ba005969922b955ca5182691437922f50de2c67e416a39fed7b3a88aecc1d7b" title="Topic: multilingual-models" href="/topics/multilingual-models" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">multilingual-models</a> </div> <div class="p-3"> <ul class="d-flex f6 list-style-none color-fg-muted"> <li class="mr-4"> Updated <relative-time datetime="2025-02-04T11:26:23Z" class="no-wrap">Feb 4, 2025</relative-time> </li> <li class="mr-4"> <span class="f6 my-1 ml-0"> <span class="repo-language-color" style="background-color: #3572A5"></span> 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data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":2285,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="38fab9b2e5e427bee0c8db0c5daee75ce423327535bc3542e3b7e6d34dae64e7" title="Topic: text-mining" href="/topics/text-mining" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">text-mining</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":13462,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="6d3cb2f1701b4e3a3cf90cdb12ebff5c9b4574065b1c0895a7792a1edfb00461" title="Topic: word2vec" href="/topics/word2vec" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">word2vec</a> 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Link f6 mb-2">topic-modeling</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":105920,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="bf8c5678de2f5445439a6e3e86f68aed0e240c8e8660a3b898a6f630a172812e" title="Topic: glove" href="/topics/glove" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">glove</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":105927,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="31b5ca44aa435023e55e3d9a5e5a9e33eddc1ce90153bccc1e367f0dbb8b0164" title="Topic: vectorization" href="/topics/vectorization" data-view-component="true" class="topic-tag 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A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)</p> </div> <div class="d-flex flex-wrap border-bottom color-border-muted px-3 pt-2 pb-2"> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":167,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="3080a9f17ff88a645b8ce242bd945fd3d13071722e7935b0535ba445a1933bba" title="Topic: nlp" href="/topics/nlp" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">nlp</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":2170,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="3538ff45d565bf4cdca001c1fc55758e645ce4f4396f182e592ea9444c8352fe" title="Topic: natural-language-processing" href="/topics/natural-language-processing" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">natural-language-processing</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":45265,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="abe172228b1b5aa91214e7d50dc29aca2b8bc4802ac38489aea1a56a2efffa9b" title="Topic: hyperparameter-optimization" href="/topics/hyperparameter-optimization" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">hyperparameter-optimization</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":60988,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="dfe54e4f286f12bf0b6176d52a8cacf04908d7a02d05379974f73541a9485d42" title="Topic: topic-modeling" href="/topics/topic-modeling" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">topic-modeling</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":172669,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="fb254eb11aca6e3fa86357aa384f89fc0709e18334d22096c5f233153a6cdf2e" title="Topic: nlp-library" href="/topics/nlp-library" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">nlp-library</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":189552,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="2e0f1007a7d4561b34bfe7670436a28a70325a4ecd0228efd9831bd0d78d1b93" title="Topic: bayesian-optimization" href="/topics/bayesian-optimization" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">bayesian-optimization</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":218577,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="a5d3ce7bcbbb7a1f5f08c07e8e0bf7e18e8ce11b78de1a11a175275d1c7e7f89" title="Topic: hyperparameter-tuning" href="/topics/hyperparameter-tuning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">hyperparameter-tuning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":224426,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="f6f3ce255bdb5252cb4fdbd2742de229c5e12ddc4b879d80cf645b13c758afb5" title="Topic: latent-dirichlet-allocation" href="/topics/latent-dirichlet-allocation" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">latent-dirichlet-allocation</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":225780,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="bf26ee0532dfe14035b3a3c782e54bef54f62e8480650a7d8ded2cf9349a8b60" title="Topic: evaluation-metrics" href="/topics/evaluation-metrics" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">evaluation-metrics</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":371852,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="469a5cbac69772be1592d614410747980da669f1456a947511b4a0064c9077b3" title="Topic: neural-topic-models" href="/topics/neural-topic-models" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">neural-topic-models</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":380402,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="7382adb11516508210268fd02fe42be44abddd0ac0fe865151eb7a51f550d6fd" title="Topic: latent-semantic-analysis" href="/topics/latent-semantic-analysis" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">latent-semantic-analysis</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":435094,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="e052ba67e1ae668d6fe6847f10c15e2c8602728124d85374430d4f4412620cf1" title="Topic: topic-models" href="/topics/topic-models" data-view-component="true" 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data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":127470,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="12ec3e7aff7fbcd8f2c47ad3478121e1c7208fb0b79b3a7da6db882d6967a1f7" title="Topic: text-analytics" href="/topics/text-analytics" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">text-analytics</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":225343,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="dc8c4aa720b90016d42623f4eb9306d04102402020b2cbb99b25521a41e6244a" title="Topic: nlp-machine-learning" href="/topics/nlp-machine-learning" data-view-component="true" class="topic-tag 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data-hydro-click-hmac="dfe54e4f286f12bf0b6176d52a8cacf04908d7a02d05379974f73541a9485d42" title="Topic: topic-modeling" href="/topics/topic-modeling" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">topic-modeling</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":224426,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="f6f3ce255bdb5252cb4fdbd2742de229c5e12ddc4b879d80cf645b13c758afb5" title="Topic: latent-dirichlet-allocation" href="/topics/latent-dirichlet-allocation" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">latent-dirichlet-allocation</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":435094,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="e052ba67e1ae668d6fe6847f10c15e2c8602728124d85374430d4f4412620cf1" title="Topic: topic-models" href="/topics/topic-models" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">topic-models</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":501117,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="77608202e9d94ab0ad63e00ef7ecb0ef13e21c6e82e130b31eb09c1d8c1a5cd4" title="Topic: supervised-lda" href="/topics/supervised-lda" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">supervised-lda</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":742175,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="b9b8cc17e0bf3dca212d3a8a37bafc441ebb747bc9594e4d60a33071047d9950" title="Topic: correlated-topic-model" href="/topics/correlated-topic-model" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">correlated-topic-model</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":767960,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="77cce46c2a710eb188fd31097525a7b9ca05232955ec89cccabaf6d62c066166" title="Topic: hierarchical-dirichlet-processes" 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0-1-1h-1v1.646a.25.25 0 0 1-.427.177L7.177 3.427a.25.25 0 0 1 0-.354ZM3.75 2.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm0 9.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm8.25.75a.75.75 0 1 0 1.5 0 .75.75 0 0 0-1.5 0Z"></path> </svg> Pull requests </a></li> </ul> </nav> <div class="color-bg-default rounded-bottom-2"> <div class="px-3 pt-3"> <p class="color-fg-muted mb-0" > An off-the-shelf tool for Chinese Keyphrase Extraction 一个快速从中文里抽取关键短语的工具，仅占35M内存 <a href="http://www.jionlp.com" class="Link--inTextBlock" rel="nofollow">www.jionlp.com</a></p> </div> <div class="d-flex flex-wrap border-bottom color-border-muted px-3 pt-2 pb-2"> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":60988,"originating_url":"https://github.com/topics/topic-modeling","user_id":null}}" data-hydro-click-hmac="dfe54e4f286f12bf0b6176d52a8cacf04908d7a02d05379974f73541a9485d42" 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