# lucidrains/RETRO-pytorch

<https://repo.masters-masters.com/en/repos/lucidrains/RETRO-pytorch>

[Home](https://repo.masters-masters.com/en) › [lucidrains](https://repo.masters-masters.com/en/owners/lucidrains) › [RETRO-pytorch](https://repo.masters-masters.com/en/repos/lucidrains/RETRO-pytorch)

lucidrains/RETRO-pytorch has 878 stars on GitHub. Its RepoMasters card: Beta tier. Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch

| Field | Value |
| --- | --- |
| Owner | [lucidrains](https://repo.masters-masters.com/en/owners/lucidrains) |
| Stars | 878 |
| Forks | 108 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2022 |
| Topics | artificial-intelligence, deep-learning, transformers, attention-mechanism, retrieval |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [lucidrains/RETRO-pytorch](https://github.com/lucidrains/RETRO-pytorch) |

## Repository

Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.