keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- CLIPBackbone text_encoder: predict_on_batch() output differs from tf.function on GPU (TF backend)
- Feature Request: Add Grain support for keras.layers.TextVectorization
- Fix #20429 — `Attention` layer hardcodes 3-D shape assumptions, breaking N-D inputs
- Fix TensorBoard callback step counter never updating
- [Feature] Modernize benchmark infrastructure for multi-backend comparison
- With `torch` backend `jit_compile=True` causes AssertionError
- [Feature] Add unified device utilities API (keras.utils.device_utils) for backend-agnostic device and memory management
- Fix progress bar double-averaging stateful metrics during evaluate()
- fix : evaluate build fallback for custom test_step
- Fix for Torch GQA
- Docs
- Python not yet supported