# NVlabs/noise2noise

<https://repo.masters-masters.com/en/repos/NVlabs/noise2noise>

[Home](https://repo.masters-masters.com/en) › [NVlabs](https://repo.masters-masters.com/en/owners/NVlabs) › [noise2noise](https://repo.masters-masters.com/en/repos/NVlabs/noise2noise)

NVlabs/noise2noise has 1,567 stars on GitHub. Its RepoMasters card: Beta tier. Noise2Noise: Learning Image Restoration without Clean Data - Official…

| Field | Value |
| --- | --- |
| Owner | [NVlabs](https://repo.masters-masters.com/en/owners/NVlabs) |
| Stars | 1,567 |
| Forks | 330 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2018 |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [NVlabs/noise2noise](https://github.com/NVlabs/noise2noise) |

## Repository

Noise2Noise: Learning Image Restoration without Clean Data - Official TensorFlow implementation of the ICML 2018 paper

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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