# Alibaba-MIIL/ASL

<https://repo.masters-masters.com/en/repos/Alibaba-MIIL/ASL>

[Home](https://repo.masters-masters.com/en) › [Alibaba-MIIL](https://repo.masters-masters.com/en/owners/Alibaba-MIIL) › [ASL](https://repo.masters-masters.com/en/repos/Alibaba-MIIL/ASL)

Alibaba-MIIL/ASL has 808 stars on GitHub. Its RepoMasters card: Beta tier. Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label…

| Field | Value |
| --- | --- |
| Owner | [Alibaba-MIIL](https://repo.masters-masters.com/en/owners/Alibaba-MIIL) |
| Stars | 808 |
| Forks | 102 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2020 |
| Topics | multi-label-classification, loss, detection, classification |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [Alibaba-MIIL/ASL](https://github.com/Alibaba-MIIL/ASL) |

## Repository

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper

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

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