keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- Reject shape-bomb Orbax checkpoints in load_model and load_weights
- Remove TF dependencies in non-TF backends
- `keras.ops.image.resize` no longer rejects a non-positive `size` given as NumPy integers
- ops.image.gaussian_blur returns wrong values for non-square kernel_size on the TensorFlow backend
- ops.unfold, ops.unstack, ops.stop_gradient and ops.vectorized_map fail on non-tensor inputs with the torch backend
- ops.vstack of 1-D inputs returns a flat array on the TensorFlow backend
- ops.diagonal, ops.diag, ops.trace and ops.eye raise for out-of-range offsets on the TensorFlow backend
- ops.split fails with negative or out-of-range indices_or_sections on TensorFlow and torch
- ops.arange raises on an empty range on TensorFlow and torch
- fix(metrics): PearsonCorrelation returns 0.0 instead of NaN for zero-variance rows
- Docs
- Python not yet supported