Build efficient machine learning models using a special version of the Transformer architecture in Pytorch.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeReformer, 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.
Reformer, the efficient Transformer, in Pytorch
reformer-pytorch is an open-source project. It is released under the MIT license.
Yes. reformer-pytorch is free and open source — you can use, modify and self-host it.
reformer-pytorch is available under the MIT license.
reformer-pytorch is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/lucidrains-reformer-pytorch.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.