keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- Migrate `ops.*` to `backend.ops.*` in `keras/src/metrics`
- Fix crossentropy and KL string losses in `LogitsDistillation`
- Migrate keras/src/layers/pooling to backend ops
- Eliminate host-to-device tensor copies in quantized layers for CUDA graph capture
- [Feature Request] Add native DoRA (Weight-Decomposed Low-Rank Adaptation) support to core Keras layers
- Add an `x64_mode` setting for 64-bit dtype support (`off` / `explicit_x64` / `enable_x64`)
- ops.in_top_k and TopKCategoricalAccuracy crash on torch/numpy when k > number of classes
- Refactor image.py to use backend functions
- Refactor numpy.py to improve function definitions
- Write model saves only from process 0 in multi-process runs
- Docs
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