# vztu/maxim-pytorch

<https://repo.masters-masters.com/en/repos/vztu/maxim-pytorch>

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

vztu/maxim-pytorch has 182 stars on GitHub. Its RepoMasters card: Prototype tier. \[CVPR 2022 Oral\] PyTorch re-implementation for "MAXIM: Multi-Axis MLP for…

| Field | Value |
| --- | --- |
| Owner | [vztu](https://repo.masters-masters.com/en/owners/vztu) |
| Stars | 182 |
| Forks | 24 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2022 |
| Topics | architecture, computer-vision, deblurring, dehazing, denoising, deraining, enhancement, image, image-enhancement, image-processing |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [vztu/maxim-pytorch](https://github.com/vztu/maxim-pytorch) |

## Repository

\[CVPR 2022 Oral\] PyTorch re-implementation for "MAXIM: Multi-Axis MLP for Image Processing", with \*training code\*. Official Jax repo: https://github.com/google-research/maxim

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.