# fepegar/unet

<https://repo.masters-masters.com/en/repos/fepegar/unet>

[Home](https://repo.masters-masters.com/en) › [fepegar](https://repo.masters-masters.com/en/owners/fepegar) › [unet](https://repo.masters-masters.com/en/repos/fepegar/unet)

fepegar/unet has 201 stars on GitHub. Its RepoMasters card: Prototype tier. "pip install unet": PyTorch Implementation of 1D, 2D and 3D U-Net architecture.

| Field | Value |
| --- | --- |
| Owner | [fepegar](https://repo.masters-masters.com/en/owners/fepegar) |
| Stars | 201 |
| Forks | 24 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | unet-image-segmentation, unet, unet-pytorch, deep-learning, convolutional-neural-networks, medical-imaging |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [fepegar/unet](https://github.com/fepegar/unet) |

## Repository

"pip install unet": PyTorch Implementation of 1D, 2D and 3D U-Net architecture.

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.