Contribute to TensorFlow
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The TensorFlow ecosystem can only grow through the contributions of this
community. Thanks so much for your enthusiasm and your work—we appreciate
everything you do!
In the interest of fostering an open and welcoming environment, contributors and
maintainers pledge to make participation in our project and our community a
harassment-free experience for everyone—regardless of age, body size,
disability, ethnicity, gender identity and expression, level of experience,
nationality, personal appearance, race, religion, or sexual identity and
orientation.
Examples of behaviors that contribute to creating a positive environment
include:
- Use welcome and inclusive language.
- Be respectful of differing viewpoints and experiences.
- Gracefully accept constructive criticism.
- Foster what's best for the community.
- Show empathy for other community members.
Decisions are made based on technical merit and consensus. The TensorFlow
community aspires to treat everyone equally, and to value all contributions. For
more information on best practices in the TensorFlow community, please review
our
Code of Conduct.
Make your first contribution
There are many ways to contribute to TensorFlow! You can contribute code, make
improvements to the TensorFlow API documentation, or add your Jupyter notebooks
to the tensorflow/examples repo.
This guide provides everything you need to get started. Our most common
contributions include code, documentation, and community support.
TensorFlow was originally developed by researchers and engineers from the Google
Brain team within Google's AI organization. Google open
sourced TensorFlow in the hope of sharing technology with the external community
and encouraging collaboration between researchers and industry. Since then,
TensorFlow has grown into a thriving ecosystem of products, on a wide range of
platforms. But our goal is still to make machine learning accessible to anyone,
anywhere.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2021-01-28 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2021-01-28 UTC."],[],[],null,["# Contribute to TensorFlow\n\n\u003cbr /\u003e\n\nThe TensorFlow ecosystem can only grow through the contributions of this\ncommunity. Thanks so much for your enthusiasm and your work---we appreciate\neverything you do!\n\nCommunity values\n----------------\n\nIn the interest of fostering an open and welcoming environment, contributors and\nmaintainers pledge to make participation in our project and our community a\nharassment-free experience for everyone---regardless of age, body size,\ndisability, ethnicity, gender identity and expression, level of experience,\nnationality, personal appearance, race, religion, or sexual identity and\norientation.\n\nExamples of behaviors that contribute to creating a positive environment\ninclude:\n\n- Use welcome and inclusive language.\n- Be respectful of differing viewpoints and experiences.\n- Gracefully accept constructive criticism.\n- Foster what's best for the community.\n- Show empathy for other community members.\n\nDecisions are made based on technical merit and consensus. The TensorFlow\ncommunity aspires to treat everyone equally, and to value all contributions. For\nmore information on best practices in the TensorFlow community, please review\nour\n[Code of Conduct](https://github.com/tensorflow/tensorflow/blob/master/CODE_OF_CONDUCT.md).\n\nMake your first contribution\n----------------------------\n\nThere are many ways to contribute to TensorFlow! You can contribute code, make\nimprovements to the TensorFlow API documentation, or add your Jupyter notebooks\nto the [tensorflow/examples](http://www.github.com/tensorflow/examples) repo.\nThis guide provides everything you need to get started. Our most common\ncontributions include *code* , *documentation* , and *community support*.\n\n- [Write code](/community/contribute/code).\n- [Improve tests](/community/contribute/tests).\n- [Improve documentation](/community/contribute/docs).\n- Answer questions on [Stack Overflow](https://stackoverflow.com/questions/tagged/tensorflow).\n- Participate in the discussion on our [mailing lists](../mailing-lists).\n- Contribute [example notebooks](http://www.github.com/tensorflow/examples).\n- Investigate [bugs and issues](https://github.com/tensorflow/tensorflow/issues) on GitHub.\n- Review and comment on [pull requests](https://github.com/tensorflow/tensorflow/pulls) from other developers.\n- [Report an issue](https://github.com/tensorflow/tensorflow/issues/new/choose).\n- Give a \"thumbs up\" 👍 on issues that are relevant to you.\n- Reference TensorFlow in your blogs, papers, and articles.\n- Talk about TensorFlow on social media.\n- ... even just starring/forking the repos you like on GitHub!\n\nTensorFlow was originally developed by researchers and engineers from the Google\nBrain team within [Google's AI organization](https://ai.google/). Google open\nsourced TensorFlow in the hope of sharing technology with the external community\nand encouraging collaboration between researchers and industry. Since then,\nTensorFlow has grown into a thriving ecosystem of products, on a wide range of\nplatforms. But our goal is still to make machine learning accessible to anyone,\nanywhere."]]
