keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- Tests/jax splash attention regression
- Add assets support to OrbaxCheckpoint using checkpointables API
- Custom call context args are not supported for the common methods for model calling (e.g. fit, predict, evaluate, ...)
- 'jit_compile=True' raises InternalTorchDynamoError with EfficientNetV2 models on torch backend.
- Introducing Parameter Sharding and Torch backend for Tensor Parallelism
- Add `CLAHE` preprocessing layer
- Add support for nested metrics in CompileMetrics (fixes #21700)
- Add `euclidean_dist_transform`
- Fix: Resolve infinite recursion in keras.ops.associative_scan under Tensorflow static graph mode
- ValueError: Invalid dtype: property object - `ops.prod` with `layers.Dense`
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