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fast-autoaugment
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fast-autoaugment

Official Implementation of 'Fast AutoAugment' in PyTorch.

by kakaobrain · GitHub
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augmentationautomated-machine-learningautomlMITPython
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Speed up the process of finding effective data augmentation techniques for machine learning models using PyTorch.

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1 6061 605
2026-07-202026-08-31
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📄 About

Official 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.

Frequently asked questions

What is fast-autoaugment?

Official Implementation of 'Fast AutoAugment' in PyTorch.

Is fast-autoaugment open source?

fast-autoaugment is an open-source project. It is released under the MIT license.

Is fast-autoaugment free?

Yes. fast-autoaugment is free and open source — you can use, modify and self-host it.

What license does fast-autoaugment use?

fast-autoaugment is available under the MIT license.

What language is fast-autoaugment written in?

fast-autoaugment is written mainly in Python.

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