To add your own project to our showcase, you can:
- Add a link and a short description to the Project Showcase in README.md in the same format as the other links, and then file a PR, or,
- Copy the Directory Template into a new folder, fill in the template, and add it to the showcase. Make sure to update CODEOWNERS as well. If you contribute a new project, you're expected to own it.
Please try to keep lists and tables in alphabetical sort order.
This repo is a good place for small additions, but if the project is a big one, it may be better to maintain it in your own repository for better encapsulation of responsibility (and so you can make your own rules for further contributions).
We maintain a list of community-maintained TensorFlow builds and packages in README.md. If you'd like to add your own build to the list, please file a PR. Your build must follow these rules:
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Your build cannot be more than two weeks late. So e.g. a "nightly" build shouldn't be more than two weeks old, and a "release" build should include TensorFlow 2.X.Y within two weeks after 2.X.Y is released by the TensorFlow team. After two weeks we'll reach out to you. At worst, we'll remove the entry from the table while you fix it.
We'd prefer to feature community builds that are up-to-date with the latest TF release, but you can also specify that your build is a legacy build that only targets old versions of TF. For Stable builds, please keep up with patch releases for the latest official TF version.
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Add a new full row for each build badge. For example, a "Nightly", "Legacy 1.15", and "Stable 2.X" build suite would be three rows.
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Your build requires two maintainers: a main contact and a backup contact. To have your PR approved, send these to [email protected].
Thank you!
There are just a few small standard guidelines you need to follow as well:
Contributions to this project must be accompanied by a Contributor License Agreement. You (or your employer) retain the copyright to your contribution; this simply gives us permission to use and redistribute your contributions as part of the project. Head over to https://cla.developers.google.com/ to see your current agreements on file or to sign a new one.
You generally only need to submit a CLA once, so if you've already submitted one (even if it was for a different project), you probably don't need to do it again.
All submissions, including submissions by project members, require review. We use GitHub pull requests for this purpose. Consult GitHub Help for more information on using pull requests.
This project follows TensorFlow's Code of Conduct, which is mirrored in our repository.