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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.
A library for transfer learning by reusing parts of TensorFlow models.
| Date | Stars |
|---|---|
| 2026-07-24 | 3523 |
| 2026-07-25 | 3523 |
| 2026-07-28 | 3523 |
| 2026-07-30 | 3523 |
| 2026-08-06 | 3523 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
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**TensorFlow Hub has moved to [Kaggle Models](https://kaggle.com/models)**
Starting November 15th 2023, links to [tfhub.dev](https://tfhub.dev) redirect to
their counterparts on Kaggle Models. `tensorflow_hub` will continue to support
downloading models that were initially uploaded to tfhub.dev via e.g.
`hub.load("https://tfhub.dev/<publisher>/<model>/<version>")`. Although no
migration or code rewrites are explicitly required, we recommend replacing
tfhub.dev links with their Kaggle Models counterparts to improve code health and
debuggability. See FAQs [here](https://kaggle.com/tfhub-dev-faqs).
As of March 18, 2024, unmigrated model assets (see list below) were deleted and
retrieval is no longer possible. These unmigrated model assets include:
- [inaturalist/vision/embedder/inaturalist_V2](https://github.com/tensorflow/tfhub.dev/tree/master/assets/docs/inaturalist/models/vision/embedder/inaturalist_V2)
- [nvidia/unet/industrial/class_1](https://github.com/tensorflow/tfhub.dev/tree/master/assets/docs/nvidia/models/unet/industrial/class_1)
- [nvidia/unet/industrial/class_2](https://github.com/tensorflow/tfhub.dev/tree/master/assets/docs/nvidia/models/unet/industrial/class_2)
- [nvidia/unet/industrial/class_3](https://github.com/tensorflow/tfhub.dev/tree/master/assets/docs/nvidia/models/unet/industrial/class_3)
- [nvidia/unet/industrial/class_4](https://github.com/tensorflow/tfhub.dev/tree/master/assets/docs/nvidia/models/unet/industrial/class_4)
- [nvidia/unet/industrial/class_5](https://github.com/tensorflow/tfhub.dev/tree/master/assets/docs/nvidia/models/unet/industrial/class_5)
- [nvidia/unet/industrial/class_6](https://github.com/tensorflow/tfhub.dev/tree/master/assets/docs/nvidia/models/unet/industrial/class_6)
- [nvidia/unet/industrial/class_7](https://github.com/tensorflow/tfhub.dev/tree/master/assets/docs/nvidia/models/unet/industrial/class_7)
- [nvidia/unet/industrial/class_8](https://github.com/tensorflow/tfhub.dev/tree/master/assets/docs/nvidia/models/unet/industrial/class_8)
- [nvidia/unet/industrial/class_9](https://github.com/tensorflow/tfhub.dev/tree/master/assets/docs/nvidia/models/unet/industrial/class_9)
- [nvidia/unet/industrial/class_10](https://github.com/tensorflow/tfhub.dev/tree/master/assets/docs/nvidia/models/unet/industrial/class_10)
- [silero/silero-stt/de](https://github.com/tensorflow/tfhub.dev/tree/master/assets/docs/silero/models/silero-stt/de)
- [silero/silero-stt/en](https://github.com/tensorflow/tfhub.dev/tree/master/assets/docs/silero/models/silero-stt/en)
- [silero/silero-stt/es](https://github.com/tensorflow/tfhub.dev/tree/master/assets/docs/silero/models/silero-stt/es)
- [svampeatlas/vision/classifier/fungi_mobile_V1](https://github.com/tensorflow/tfhub.dev/tree/master/assets/docs/svampeatlas/models/vision/classifier/fungi_mobile_V1)
- [svampeatlas/vision/embedder/fungi_V2](https://github.com/tensorflow/tfhub.dev/tree/master/assets/docs/svampeatlas/models/vision/embedder/fungi_V2)
# tensorflow_hub
This GitHub repository hosts the `tensorflow_hub` Python library to download
and reuse SavedModels in your TensorFlow Excerpt of 6,531 characters
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:6b4ae02eeb60e87e, topic:tensorflow
matched fp:6b4ae02eeb60e87e, topic:image-classification
matched fp:6b4ae02eeb60e87e, topic:embeddings