keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- Validate the file name derived from `origin` in `get_file`
- Fix torch.compile graph break in torch backend's dot_product_attention
- [Doc] `load_img()` raising `PIL.Image.DecompressionBombError` for oversized images
- Follow-up enhancements to keras.ops.image.reconstruct_patches
- Auto-infer output_size for padding="valid" in keras.ops.image.reconstruct_patches
- Enable Model Parallel support for torch via DTensor integration
- Reject decompression-bomb config/metadata in KerasFileEditor
- perf(layers): widen training-kwarg skip in Layer.__call__ conversion gate
- perf(layers): single-tensor structure fast paths in Layer.__call__ mask pipeline
- perf(layers): open the layer name scope once per call, not twice
- Docs
- Python not yet supported