Official Implementation of 'Fast AutoAugment' in PyTorch.
Speed up the process of finding effective data augmentation techniques for machine learning models using PyTorch.
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Free · no card · unsubscribe anytimeOfficial Implementation of 'Fast AutoAugment' in PyTorch.
fast-autoaugment has 1.6k stars on GitHub. It has been forked 197 times. fast-autoaugment is written mainly in Python. It has been in active development since 2019. fast-autoaugment is available under the MIT license. Its main topics are augmentation, automated-machine-learning, automl, cnn.
Official Implementation of 'Fast AutoAugment' in PyTorch.
fast-autoaugment is an open-source project. It is released under the MIT license.
Yes. fast-autoaugment is free and open source — you can use, modify and self-host it.
fast-autoaugment is available under the MIT license.
fast-autoaugment is written mainly in Python.
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