# lucidrains/memory-efficient-attention-pytorch

<https://repo.masters-masters.com/en/repos/lucidrains/memory-efficient-attention-pytorch>

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

lucidrains/memory-efficient-attention-pytorch has 395 stars on GitHub. Its RepoMasters card: Alpha tier. Implementation of a memory efficient multi-head…

| Field | Value |
| --- | --- |
| Owner | [lucidrains](https://repo.masters-masters.com/en/owners/lucidrains) |
| Stars | 395 |
| Forks | 36 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | artificial-intelligence, deep-learning, attention-mechanism, memory-efficient |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [lucidrains/memory-efficient-attention-pytorch](https://github.com/lucidrains/memory-efficient-attention-pytorch) |

## Repository

Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(n²) Memory"

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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