# Alibaba-MIIL/ImageNet21K

<https://repo.masters-masters.com/en/repos/Alibaba-MIIL/ImageNet21K>

[Home](https://repo.masters-masters.com/en) › [Alibaba-MIIL](https://repo.masters-masters.com/en/owners/Alibaba-MIIL) › [ImageNet21K](https://repo.masters-masters.com/en/repos/Alibaba-MIIL/ImageNet21K)

Alibaba-MIIL/ImageNet21K has 780 stars on GitHub. Its RepoMasters card: Beta tier. Official Pytorch Implementation of: "ImageNet-21K Pretraining for the…

| Field | Value |
| --- | --- |
| Owner | [Alibaba-MIIL](https://repo.masters-masters.com/en/owners/Alibaba-MIIL) |
| Stars | 780 |
| Forks | 71 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2021 |
| Topics | imagenet21k, pretraining, downstream, semantic-softmax, single-label, multi-label-classification, vision-transformer, mixer |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [Alibaba-MIIL/ImageNet21K](https://github.com/Alibaba-MIIL/ImageNet21K) |

## Repository

Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper

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

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