# mehta-lab/VisCy

<https://repo.masters-masters.com/en/repos/mehta-lab/VisCy>

[Home](https://repo.masters-masters.com/en) › [mehta-lab](https://repo.masters-masters.com/en/owners/mehta-lab) › [VisCy](https://repo.masters-masters.com/en/repos/mehta-lab/VisCy)

mehta-lab/VisCy has 103 stars on GitHub. Its RepoMasters card: Prototype tier. computer vision models for single-cell phenotyping Language: Jupyter Notebook.

| Field | Value |
| --- | --- |
| Owner | [mehta-lab](https://repo.masters-masters.com/en/owners/mehta-lab) |
| Stars | 103 |
| Forks | 14 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | BSD-3-Clause |
| Created | 2023 |
| Topics | bioimage-analysis, computer-vision, machine-learning, image-translation, representation-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [mehta-lab/VisCy](https://github.com/mehta-lab/VisCy) |

## Repository

computer vision models for single-cell phenotyping

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.