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reformer-pytorch
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reformer-pytorch

Reformer, the efficient Transformer, in Pytorch

by lucidrains · GitHub
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artificial-intelligenceattention-mechanismmachine-learningMITPython
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Build efficient machine learning models using a special version of the Transformer architecture in Pytorch.

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2 1912 190
2026-07-072026-08-31
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📄 About

Reformer, the efficient Transformer, in Pytorch

reformer-pytorch has 2.2k stars on GitHub. It has been forked 253 times. reformer-pytorch is written mainly in Python. It has been in active development since 2020. reformer-pytorch is available under the MIT license. Its main topics are artificial-intelligence, attention-mechanism, machine-learning, pytorch.

Frequently asked questions

What is reformer-pytorch?

Reformer, the efficient Transformer, in Pytorch

Is reformer-pytorch open source?

reformer-pytorch is an open-source project. It is released under the MIT license.

Is reformer-pytorch free?

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

What license does reformer-pytorch use?

reformer-pytorch is available under the MIT license.

What language is reformer-pytorch written in?

reformer-pytorch is written mainly in Python.

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