# zyl200846/3D-UNet-PyTorch-Implementation

<https://repo.masters-masters.com/en/repos/zyl200846/3D-UNet-PyTorch-Implementation>

[Home](https://repo.masters-masters.com/en) › [zyl200846](https://repo.masters-masters.com/en/owners/zyl200846) › [3D-UNet-PyTorch-Implementation](https://repo.masters-masters.com/en/repos/zyl200846/3D-UNet-PyTorch-Implementation)

zyl200846/3D-UNet-PyTorch-Implementation has 102 stars on GitHub. Its RepoMasters card: Prototype tier. The implementation of 3D-UNet using PyTorch

| Field | Value |
| --- | --- |
| Owner | [zyl200846](https://repo.masters-masters.com/en/owners/zyl200846) |
| Stars | 102 |
| Forks | 24 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | unet, pytorch, pytorch-implementation, volumetric-data, cross-validation, 3d-unet, semantic-segmentation, 3d-segmentation |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [zyl200846/3D-UNet-PyTorch-Implementation](https://github.com/zyl200846/3D-UNet-PyTorch-Implementation) |

## Repository

The implementation of 3D-UNet using PyTorch

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.