keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- Implement column_stack function across multiple backends and add corresponding tests
- feat(callbacks): add MemoryUsageCallback for CPU/GPU memory monitoring
- keras.ops.isclose incorrectly returns False for matching positive and negative infinities
- keras.ops.nancumsum returns finite values instead of inf/nan for inputs containing NaN and infinities
- keras.ops.hypot returns NaN instead of Inf for Inf and -Inf inputs
- 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
- keras.ops.nancumprod returns float32 max instead of inf for NaN followed by Inf
- keras.ops.multiply returns NaN instead of -Inf when multiplying -Inf by float32 subnormal value
- [Fix] keras.ops.nancumsum returns finite values instead of inf/nan for inputs containing NaN and infinities
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