keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- MultiHeadAttention doesn't use scaled_dot_product_attention on torch (also breaks torch.compile)
- slice() coerces dynamic-shape indices to Python int and specializes shapes
- torch conv does two NHWC<->NCHW copies when one would do
- Layer.__call__ re-assigns self.built/self._called even when already set
- _dict_to_ordered_dict does a full pytree traversal even for a plain leaf tensor
- TorchTrainer takes the slow loss/batch-size path every step (and crashes GPU fit with a device bug)
- Implement Weight-Decomposed Low-Rank Adaptation (DoRA)
- Fix Functional model dict inputs ignoring extra keys (#23258)
- Fix Functional dict inputs with extra keys
- Functional model with dict inputs uses an unrelated extra key as the declared input
- Docs
- Python not yet supported