Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch
Build and test a retrieval-based AI model using Pytorch for improved attention mechanisms.
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Free · no card · unsubscribe anytimeImplementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch
RETRO-pytorch has 877 stars on GitHub. It has been forked 109 times. RETRO-pytorch is written mainly in Python. It has been in active development since 2022. RETRO-pytorch is available under the Apache-2.0 license. Its main topics are artificial-intelligence, attention-mechanism, deep-learning, retrieval.
Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch
RETRO-pytorch is an open-source project. It is released under the Apache-2.0 license.
Yes. RETRO-pytorch is free and open source — you can use, modify and self-host it.
RETRO-pytorch is available under the Apache-2.0 license.
RETRO-pytorch is written mainly in Python.
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