keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- Reject ReDoS-prone Muon exclude_layers to avoid catastrophic backtracking
- Keras with Pytorch backend is SLOW compared to Keras and tensorflow2.10 GPU
- Added loss test suite
- keras.ops.nextafter returns Inf instead of max finite float32 when moving from Inf toward -Inf
- keras.ops.erfinv returns Inf for largest float32 value below 1.0
- Add image restoration losses: Charbonnier, PSNR, TotalVariation, EdgeAwareSmoothness, MSSSIM
- [Feature request] A Restoration and Perceptual loss suite
- feat(layer): allow sublayer and variable reassignment after build
- feat(models): add convert_data_format for channels_first/last model conversion
- feat(layers): add RandomApply and RandomChoice preprocessing wrappers
- Docs
- Python not yet supported