keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- Step `nextafter` by a ULP of the result dtype on openvino
- Validate label smoothing range in loss functions
- keras.ops.size returns int64 on four of five backends but declares int32
- [Torch] Add DTensor compatibility audit for Keras layers
- Return a Python int from ops.size on every backend
- [Torch] Add End-to-End Multi-GPU Integration Tests
- Add sparse categorical focal crossentropy
- Fix/safe get h5 group empty path segments
- Feature Request: BDH layer
- [Fix] Resolve PyTorch DDP execution crashes, NCHW shape errors, and sampler state
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