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  1. opensource.google › projectsProjects | Google Open Source

    Projects. At Google, we use open source to innovate and we release open source to share our innovations. We encourage you to browse through our featured projects to find work to use, share, and build on!

    • Android

      Android is an operating system and software stack created...

    • Kubernetes

      Kubernetes builds upon years of experience at Google running...

  2. opensource.googleblog.com › 2020 › 04Code Search for Google open source projects

    1 de abr. de 2020 · Wednesday, April 1, 2020. We are pleased to launch Code Search for Google open source projects. Code Search is one of Google’s most popular internal tools, and now we have a version (same binary, different flags) targeted to open source communities.

  3. developers.google.com › code-searchCode Search | Google for Developers

    Learn how to search code in open source software projects such as Chromium and Android.

  4. opensource.googleGoogle Open Source

    Google Open Source programs support open source projects through enabling new contributors, building mentorship, and supporting documentation. Google Summer of Code 2023 Google Summer of Code is a global, online program focused on bringing new contributors into open source software development.

  5. code.google.comGoogle Code

    Google Developers is the place to find all Google developer documentation, resources, events, and products. developers.google.com From 2006-2016, Google Code Project Hosting offered a...

  6. searchcode.comsearchcode | source code search engine

    Filter by Source or Language. Filter down to one or many sources such as Bitbucket, CodePlex, Fedora Project, GitLab, Github, Gitorious, Google Android, Google Code, Minix3, Seek Quarry, Sourceforge, Tizen, codeberg, repo.or.cz, sr.ht or by 243+ languages.

  7. opensource.google › projects › tensorflowTensorFlow | Google Open Source Projects

    TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML, and gives developers the ability to easily build and deploy ML-powered applications.