# VITA-Group/M3ViT

<https://repo.masters-masters.com/en/repos/VITA-Group/M3ViT>

[Home](https://repo.masters-masters.com/en) › [VITA-Group](https://repo.masters-masters.com/en/owners/VITA-Group) › [M3ViT](https://repo.masters-masters.com/en/repos/VITA-Group/M3ViT)

VITA-Group/M3ViT has 138 stars on GitHub. Its RepoMasters card: Prototype tier. \[NeurIPS 2022\] “M³ViT: Mixture-of-Experts Vision Transformer for Efficient…

| Field | Value |
| --- | --- |
| Owner | [VITA-Group](https://repo.masters-masters.com/en/owners/VITA-Group) |
| Stars | 138 |
| Forks | 20 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | transformer |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [VITA-Group/M3ViT](https://github.com/VITA-Group/M3ViT) |

## Repository

\[NeurIPS 2022\] “M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design”, Hanxue Liang\*, Zhiwen Fan\*, Rishov Sarkar, Ziyu Jiang, Tianlong Chen, Kai Zou, Yu Cheng, Cong Hao, Zhangyang Wang

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.