# JiangWeibeta/MLIC

<https://repo.masters-masters.com/en/repos/JiangWeibeta/MLIC>

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

JiangWeibeta/MLIC has 173 stars on GitHub. Its RepoMasters card: Prototype tier. \[ACMMM 2023 / NCW ICML 2023\] Multi-Reference Entropy Models for Learned Image…

| Field | Value |
| --- | --- |
| Owner | [JiangWeibeta](https://repo.masters-masters.com/en/owners/JiangWeibeta) |
| Stars | 173 |
| Forks | 18 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2023 |
| Topics | imagecompression, lossyimagecompression |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [JiangWeibeta/MLIC](https://github.com/JiangWeibeta/MLIC) |

## Repository

\[ACMMM 2023 / NCW ICML 2023\] Multi-Reference Entropy Models for Learned Image Compression

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.