# Fried-Rice-Lab/FriedRiceLab

<https://repo.masters-masters.com/en/repos/Fried-Rice-Lab/FriedRiceLab>

[Home](https://repo.masters-masters.com/en) › [Fried-Rice-Lab](https://repo.masters-masters.com/en/owners/Fried-Rice-Lab) › [FriedRiceLab](https://repo.masters-masters.com/en/repos/Fried-Rice-Lab/FriedRiceLab)

Fried-Rice-Lab/FriedRiceLab has 211 stars on GitHub. Its RepoMasters card: Prototype tier. Official repository of the Fried Rice Lab, including code resources…

| Field | Value |
| --- | --- |
| Owner | [Fried-Rice-Lab](https://repo.masters-masters.com/en/owners/Fried-Rice-Lab) |
| Stars | 211 |
| Forks | 27 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | basicsr, pytorch, image-restoration, super-resolution, denoising, deep-learning, python, eswt |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Fried-Rice-Lab/FriedRiceLab](https://github.com/Fried-Rice-Lab/FriedRiceLab) |

## Repository

Official repository of the Fried Rice Lab, including code resources of the following our works: ESWT \[arXiv\], etc. This repository also implements many useful features and out-of-the-box image restoration models.

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.