keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- Broadcast single-pair pad_width to all axes in ops.pad
- perf(backend): O(1) ALLOWED_DTYPES membership + cached standardize_dtype
- perf(torch): loss fast path + fast batch-size extraction in TorchTrainer
- perf(torch): fast paths in convert_to_tensor/cast (+ fix spurious .to())
- fix(torch): slice() preserves dynamic dims (SymInt) under torch.export
- Deduplicate shared variables in HDF5 saves
- Propagate masks through nested Functional models
- Reject cumulative npz/ZIP shape bombs that evade the per-member size floor
- Reject decompression-bomb members in the shared archive extraction path
- Reject HDF5 shape bombs in KerasFileEditor
- Docs
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