# yang-ruixin/PyTorch-Image-Models-Multi-Label-Classification

<https://repo.masters-masters.com/en/repos/yang-ruixin/PyTorch-Image-Models-Multi-Label-Classification>

[Home](https://repo.masters-masters.com/en) › [yang-ruixin](https://repo.masters-masters.com/en/owners/yang-ruixin) › [PyTorch-Image-Models-Multi-Label-Classification](https://repo.masters-masters.com/en/repos/yang-ruixin/PyTorch-Image-Models-Multi-Label-Classification)

yang-ruixin/PyTorch-Image-Models-Multi-Label-Classification has 129 stars on GitHub. Its RepoMasters card: Prototype tier. Multi-label classification based on…

| Field | Value |
| --- | --- |
| Owner | [yang-ruixin](https://repo.masters-masters.com/en/owners/yang-ruixin) |
| Stars | 129 |
| Forks | 11 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2021 |
| Topics | multi-label, multi-label-classification, pytorch, pretrained-models, pretrained-weights, transfer-learning, gradient-centralization, densenet, efficientnet, hrnet |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [yang-ruixin/PyTorch-Image-Models-Multi-Label-Classification](https://github.com/yang-ruixin/PyTorch-Image-Models-Multi-Label-Classification) |

## Repository

Multi-label classification based on timm.

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.