keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- [Feature Request] Support pytree (nested list) in optimizer `build`
- [FEATURE] Incorporate very-detailed type hints for traversing import hierarchy to enable ML frameworks to be the search space
- [FEATURE] Implement tool to automatically patch codebases to be compatible with keras-core
- Passing inputs to a sequential model in a custom training step called with fit to calculate loss fails - requires a layer redefinition
- `keras_core/trainers/trainers_test.py` wrong result on fit (graph mode + no XLA + TF backend)
- Torch backend planning
- DTensor support in TF backend
- Bert training with TPU does not work on Keras Core
- JAX GPU Test aborts in `PyDatasetAdapter` if `multiprocessing=True`
- Global progress tracker
- Docs
- Python not yet supported