# Qiuyan918/Unet\_Implementation\_PyTorch

<https://repo.masters-masters.com/en/repos/Qiuyan918/Unet_Implementation_PyTorch>

[Home](https://repo.masters-masters.com/en) › [Qiuyan918](https://repo.masters-masters.com/en/owners/Qiuyan918) › [Unet\_Implementation\_PyTorch](https://repo.masters-masters.com/en/repos/Qiuyan918/Unet_Implementation_PyTorch)

Qiuyan918/Unet\_Implementation\_PyTorch has 178 stars on GitHub. Its RepoMasters card: Prototype tier. 使用PyTorch实现Unet图像分割 Language: Jupyter Notebook.

| Field | Value |
| --- | --- |
| Owner | [Qiuyan918](https://repo.masters-masters.com/en/owners/Qiuyan918) |
| Stars | 178 |
| Forks | 42 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2019 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Qiuyan918/Unet\_Implementation\_PyTorch](https://github.com/Qiuyan918/Unet_Implementation_PyTorch) |

## Repository

使用PyTorch实现Unet图像分割

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.