keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- [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)
- Bert training with TPU does not work on Keras Core
- JAX GPU Test aborts in `PyDatasetAdapter` if `multiprocessing=True`
- RNN not compatible with XLA (TF backend)
- Reimplement torch conv ops to go direct to cudnn
- Slightly friendlier import warning.
- Probability Distributions in Keras-Core
- Pretrained NASNetMobile incorrect inference with torch backend
- Docs
- Python not yet supported