# facebookresearch/memory

<https://repo.masters-masters.com/en/repos/facebookresearch/memory>

[Home](https://repo.masters-masters.com/en) › [facebookresearch](https://repo.masters-masters.com/en/owners/facebookresearch) › [memory](https://repo.masters-masters.com/en/repos/facebookresearch/memory)

facebookresearch/memory has 386 stars on GitHub. Its RepoMasters card: Alpha tier. Memory layers use a trainable key-value lookup mechanism to add extra…

| Field | Value |
| --- | --- |
| Owner | [facebookresearch](https://repo.masters-masters.com/en/owners/facebookresearch) |
| Stars | 386 |
| Forks | 33 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2024 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [facebookresearch/memory](https://github.com/facebookresearch/memory) |

## Repository

Memory layers use a trainable key-value lookup mechanism to add extra parameters to a model without increasing FLOPs. Conceptually, sparsely activated memory layers complement compute-heavy dense feed-forward layers, providing dedicated capacity to store and retrieve information cheaply.

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.