# Alibaba-MIIL/TResNet

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

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

Alibaba-MIIL/TResNet has 476 stars on GitHub. Its RepoMasters card: Alpha tier. Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated…

| Field | Value |
| --- | --- |
| Owner | [Alibaba-MIIL](https://repo.masters-masters.com/en/owners/Alibaba-MIIL) |
| Stars | 476 |
| Forks | 62 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2020 |
| Topics | tresnet, multi-label-classification, accuracy, architecture, imagenet |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [Alibaba-MIIL/TResNet](https://github.com/Alibaba-MIIL/TResNet) |

## Repository

Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)

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.