# mlpc-ucsd/CoaT

<https://repo.masters-masters.com/en/repos/mlpc-ucsd/CoaT>

[Home](https://repo.masters-masters.com/en) › [mlpc-ucsd](https://repo.masters-masters.com/en/owners/mlpc-ucsd) › [CoaT](https://repo.masters-masters.com/en/repos/mlpc-ucsd/CoaT)

mlpc-ucsd/CoaT has 234 stars on GitHub. Its RepoMasters card: Prototype tier. (ICCV 2021 Oral) CoaT: Co-Scale Conv-Attentional Image Transformers

| Field | Value |
| --- | --- |
| Owner | [mlpc-ucsd](https://repo.masters-masters.com/en/owners/mlpc-ucsd) |
| Stars | 234 |
| Forks | 30 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2021 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [mlpc-ucsd/CoaT](https://github.com/mlpc-ucsd/CoaT) |

## Repository

(ICCV 2021 Oral) CoaT: Co-Scale Conv-Attentional Image Transformers

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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