keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- Fix Torch std/logsumexp empty-axis reductions
- Document that `Operation.input` and `output` return the first call's tensors
- Automate PR/Issue status label updates when contributors respond or push changes
- Move backend-independent symbols from backend to backend.common.
- TensorFlow backend: `sort`, `argsort`, `argmax`, `argmin`, `unique` and `top_k` mishandle NaN
- Torch backend: `ops.std` and `ops.logsumexp` reduce over every axis when `axis=()`
- standardize_tuple returns unconverted floats/numpy ints despite validating them as int
- Add shape validation to legacy binary_crossentropy
- Fix weak dtype resolution under a bfloat16 floatx (#23712)
- Don't truncate integer/bool inputs in rms_normalization and layer_normalization (#23708)
- Docs
- Python not yet supported