keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- [Bug] Segmentation mask visualization docs use one-based class labels but implementation uses zero-based indices
- [Bug] TorchDataLoaderAdapter corrupts dict and single-tensor batches on non-Torch backends
- [Bug] `model.fit()` hangs indefinitely after calling `StringLookup.adapt()` on macOS Apple Silicon (CPU) with TF 2.21.0 + Python 3.13
- [Bug] `model.evaluate()` reports incorrect metric values in graph mode when dataset has fixed batch dimension in `element_spec`
- [Bug] TF tracing fails for distributed training with stateful optimizers
- [bug-fix] enter `tf.init_scope` when adding optimizer variables with TF backend
- Add erfinv tests and TensorFlow CPU fallback for half precision
- Support native Grouped-Query Attention (GQA) Key/Value head broadcast.
- Rebase MLX backend onto master
- [Bug] `tf.data` class weights fail for omitted classes
- Docs
- Python not yet supported