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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
TensorFlow documentation
| Date | Stars |
|---|---|
| 2026-07-24 | 6326 |
| 2026-07-25 | 6326 |
| 2026-07-28 | 6326 |
| 2026-07-30 | 6326 |
| 2026-08-06 | 6326 |
Today
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Momentum
0.0
growth rate 0.00%/day
# TensorFlow Documentation <div align="center"> <img src="https://www.tensorflow.org/images/tf_logo_horizontal.png"><br><br> </div> These are the source files for the guide and tutorials on [tensorflow.org](https://www.tensorflow.org/overview). To contribute to the TensorFlow documentation, please read [CONTRIBUTING.md](CONTRIBUTING.md), the [TensorFlow docs contributor guide](https://www.tensorflow.org/community/contribute/docs), and the [style guide](https://www.tensorflow.org/community/contribute/docs_style). To file a docs issue, use the issue tracker in the [tensorflow/tensorflow](https://github.com/tensorflow/tensorflow/issues/new?template=20-documentation-issue.md) repo. And join the TensorFlow documentation contributors on the [TensorFlow Forum](https://discuss.tensorflow.org/). ## Community translations [Community translations](https://www.tensorflow.org/community/contribute/docs#community_translations) are located in the [tensorflow/docs-l10n](https://github.com/tensorflow/docs-l10n) repo. These docs are contributed, reviewed, and maintained by the community as *best-effort*. To participate as a translator or reviewer, see the `site/<lang>/README.md`, join the language mailing list, and submit a pull request. ## License [Apache License 2.0](LICENSE)
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90
Yifei Feng · @ray-project, @anyscale ex-@tensorflow · United States
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Adam Michael Wood · United States
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Peter Jiang · Bosch CR · China
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Martin Wicke · United States
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:8374f23a19b4c83d, topic:deep-learning, topic:tensorflow