Keras-aug

Latest version: v1.1.1

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1.1.1

What's Changed
* Introduce `TestCase` and ensure mixed precision works with all layers by james77777778 in https://github.com/james77777778/keras-aug/pull/137


**Full Changelog**: https://github.com/james77777778/keras-aug/compare/v1.1.0...v1.1.1

1.1.0

What's Changed
* Add `ToDType` and fix bugs in `RandAugment` and `TrivialAugmentWide` by james77777778 in https://github.com/james77777778/keras-aug/pull/136


**Full Changelog**: https://github.com/james77777778/keras-aug/compare/v1.0.1...v1.1.0

1.0.1

What's Changed
* Update guides and README by james77777778 in https://github.com/james77777778/keras-aug/pull/132
* Fix `app.py` by james77777778 in https://github.com/james77777778/keras-aug/pull/133
* Add `p` argument to `RandAugment` and `TrivialAugmentWide` and fix bug in `RandomApply` by james77777778 in https://github.com/james77777778/keras-aug/pull/134
* Update `app.py` by james77777778 in https://github.com/james77777778/keras-aug/pull/135


**Full Changelog**: https://github.com/james77777778/keras-aug/compare/v1.0.0...v1.0.1

1.0.0

Breaking Change

Now, KerasAug is compatible with Keras 3 and `tf.data.Dataset` with all backends!

Note that the new APIs largly follow `torchvision` and the correctness of all layers has been verified through unit tests.

0.5.8

What's Changed
* Fix streamlit requirements by james77777778 in https://github.com/james77777778/keras-aug/pull/124
* Fix `tf.where` inconsistent dtype bug by james77777778 in https://github.com/james77777778/keras-aug/pull/126


**Full Changelog**: https://github.com/james77777778/keras-aug/compare/v0.5.7...v0.5.8

0.5.7

**Full Changelog**: https://github.com/james77777778/keras-aug/compare/v0.5.6...v0.5.7

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