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An open source project isn't just about the code, it's also about the community of users, developers, writers, researchers, and other contributors. You can help grow and support this community.
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Please read the TensorFlow [Code and Collaboration governance](https://github.com/tensorflow/community/blob/master/governance/code-and-collaboration.md)
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Please read the TensorFlow [Code and Collaboration governance](https://github.com/tensorflow/community/blob/master/governance/code-and-collaboration.md).
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## Community support
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Many people [ask questions about TensorFlow on Stack Overflow](https://stackoverflow.com/questions/tagged/tensorflow). Answering those questions and pointing people to the relevant documentation is a great service to the community.
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Many people [ask questions about TensorFlow on the TensorFlow Forum](https://discuss.tensorflow.org/). Answering those questions and pointing people to the relevant documentation is a great service to the community.
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Some users also ask support questions as GitHub issues. We try to discourage this, as GitHub issues are not the best place to ask for technical support. However, if you notice these issues, you are encouraged to answer them and point people to the relevant documentation.
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### TensorFlow Forum
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The [TensorFlow Forum](https://discuss.tensorflow.org/) is a central platform for community discussion and support. It brings our community together to share ideas, best practices and use cases related to TensorFlow. We foster an open and welcoming environment according to the [TensorFlow Code of Conduct](https://discuss.tensorflow.org/faq).
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The TensorFlow Forum is organized by categories, subcategories and tags. We encourage you to create an account and follow categories and tags of interest. When you create a new post, select the most appropriate [category or subcategory](https://discuss.tensorflow.org/categories) and [tags](https://discuss.tensorflow.org/tags) to help other users find your topic.
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For more information on Discourse features, read the [Discourse New User Guide](https://meta.discourse.org/t/discourse-new-user-guide/96331).
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### Become a Forum expert
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Discourse uses [trust levels](https://blog.discourse.org/2018/06/understanding-discourse-trust-levels/) to reward increasing levels of participation in the forum. The Forum facilitates learning by doing, letting you to collect [badges](https://discuss.tensorflow.org/badges) that are displayed on your profile. This is a great way to be recognized for helping fellow community members. The more you invest in helping community members, the more badges and forum tools you will unlock.
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Certain groups, such as TensorFlow Team members and Machine Learning GDEs display a special icon for easier identification.
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## Communication
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The TensorFlow community has a number of formal and informal ways of keeping in touch.
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The primary communication about work on TensorFlow happens in the [TensorFlow repositories on GitHub](https://github.com/tensorflow). This is the place to discuss bugs, new features, and in-progress work.
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<!--
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### Forums
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-->
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### Mailing lists
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Mailing lists are reserved for announcements and contributor conversation. They are not intended to provide technical support.
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#### General TensorFlow lists
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Most communication happens on the TensorFlow Forum, however the following mailing lists are still used for announcements and contributor conversation. They are not intended to provide technical support.
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*[[email protected]](mailto:[email protected]) — All major releases and important announcements are sent to this mailing group. We recommend that you join this list if you depend on TensorFlow in any way.
The [TensorFlow Blog](http://blog.tensorflow.org/) is full of great content both from our team at Google and the broader community. We'd love to hear what you have to say, so if you would like to submit an article for review, please contact the TensorFlow Developer Relations team.
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On [Twitter](https://twitter.com/tensorflow) we share the latest and greatest from our community, and our [YouTube channel](https://www.youtube.com/tensorflow) has free educational content to help you create, understand and deploy models for a variety of applications.
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## TensorFlow Community Spotlight
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The TensorFlow Community Spotlight Program provides an opportunity to showcase your passion projects using TensorFlow. [Submit your project](https://services.google.com/fb/forms/tensorflowprojectrecognitionform/) for a chance to be featured and recognized on TensorFlow’s Twitter account.
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Follow the [#TFCommunitySpotlight](https://twitter.com/hashtag/TFCommunitySpotlight?src=hashtag_click) hashtag and find out more about past winners [here](https://blog.tensorflow.org/2020/11/tensorflow-community-spotlight-program-update.html).
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## User groups
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[TensorFlow User Groups](https://www.tensorflow.org/community/groups) (or TFUGs, for short) are local communities of developers and researchers around the world. If you don’t have a TFUG in your country or city, we encourage you to start one by reaching out to [[email protected]](mailto:[email protected]).
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## Events
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The TensorFlow team hosts and supports events all around the world! If your TFUG is planning an upcoming event or meetup, please let our Community know by posting about it on the TensorFlow Forum under the [Events category](https://discuss.tensorflow.org/c/events/27).
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If you’ve already held your event, please share feedback with us [here](https://docs.google.com/forms/d/e/1FAIpQLSdvb8c2ZFXxS05aX6dpUVZlfYA0WsFFq-sUAzjiohVKAQ1RLw/viewform)! Feel free to share recaps and recordings on the Forum as well.
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## TensorFlow Certificate program
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Demonstrate your proficiency in using TensorFlow to solve deep learning and ML problems. Advance your career and connect with developers who also have passed the exam on the [Certificate Network](https://www.tensorflow.org/certificate-network).
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#### Project-specific lists
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*[[email protected]](mailto:[email protected]) — If you are interested in contributing to the TensorFlow documentation, join this mailing list.
We post regularly to the [TensorFlow Blog](http://blog.tensorflow.org/), with content sourced from both TensorFlow developers and the broader community. If you would like to submit an article for review, please contact the TensorFlow Developer Relations team.
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### Social media
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For news and updates from around the universe of TensorFlow projects, follow [@tensorflow](https://twitter.com/tensorflow) on Twitter. To watch TensorFlow-related content, check out our [YouTube](http://youtube.com/tensorflow/) channel.
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### User groups
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TensorFlow has many communities all over the world! For a complete listing, please refer to the [Community](https://www.tensorflow.org/community/groups) section on the TensorFlow website.
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### Special Interest Groups (SIGs)
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To enable focused collaboration on particular areas of TensorFlow, we host Special Interest Groups (SIGs). SIGs do their work in public. If you want to join and contribute, review the work of the group, and get in touch with the relevant SIG leader. Membership policies vary on a per-SIG basis.
<td>Maintains a repository of contributions that conform to well-established API patterns, but implement new functionality not available in core TensorFlow.
<td>Works on support for file systems and formats other than those in core TensorFlow (such as Apache Ignite FS, or Apache Hadoop SequenceFile), as subclasses of tf.data.Dataset and TensorFlow filesystems.
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