# fab-jul/L3C-PyTorch

<https://repo.masters-masters.com/en/repos/fab-jul/L3C-PyTorch>

[Home](https://repo.masters-masters.com/en) › [fab-jul](https://repo.masters-masters.com/en/owners/fab-jul) › [L3C-PyTorch](https://repo.masters-masters.com/en/repos/fab-jul/L3C-PyTorch)

fab-jul/L3C-PyTorch has 410 stars on GitHub. Its RepoMasters card: Alpha tier. PyTorch Implementation of the CVPR'19 Paper "Practical Full Resolution Learned…

| Field | Value |
| --- | --- |
| Owner | [fab-jul](https://repo.masters-masters.com/en/owners/fab-jul) |
| Stars | 410 |
| Forks | 60 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-3.0 |
| Created | 2019 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [fab-jul/L3C-PyTorch](https://github.com/fab-jul/L3C-PyTorch) |

## Repository

PyTorch Implementation of the CVPR'19 Paper "Practical Full Resolution Learned Lossless Image Compression"

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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