# fenglinglwb/EDT

<https://repo.masters-masters.com/en/repos/fenglinglwb/EDT>

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

fenglinglwb/EDT has 136 stars on GitHub. Its RepoMasters card: Prototype tier. On Efficient Transformer-Based Image Pre-training for Low-Level Vision

| Field | Value |
| --- | --- |
| Owner | [fenglinglwb](https://repo.masters-masters.com/en/owners/fenglinglwb) |
| Stars | 136 |
| Forks | 10 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2021 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [fenglinglwb/EDT](https://github.com/fenglinglwb/EDT) |

## Repository

On Efficient Transformer-Based Image Pre-training for Low-Level Vision

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

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- [fenglinglwb/MAT · ★ 983 · Python · Beta](https://repo.masters-masters.com/en/repos/fenglinglwb/MAT)

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