# choosehappy/PytorchDigitalPathology

<https://repo.masters-masters.com/en/repos/choosehappy/PytorchDigitalPathology>

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

choosehappy/PytorchDigitalPathology has 128 stars on GitHub. Its RepoMasters card: Prototype tier. An implementation of Unet for pytorch designed for digital…

| Field | Value |
| --- | --- |
| Owner | [choosehappy](https://repo.masters-masters.com/en/owners/choosehappy) |
| Stars | 128 |
| Forks | 67 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2018 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [choosehappy/PytorchDigitalPathology](https://github.com/choosehappy/PytorchDigitalPathology) |

## Repository

An implementation of Unet for pytorch designed for digital pathology segmentation

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.