# DeepTrackAI/DeepTrack2

<https://repo.masters-masters.com/en/repos/DeepTrackAI/DeepTrack2>

[Home](https://repo.masters-masters.com/en) › [DeepTrackAI](https://repo.masters-masters.com/en/owners/DeepTrackAI) › [DeepTrack2](https://repo.masters-masters.com/en/repos/DeepTrackAI/DeepTrack2)

DeepTrackAI/DeepTrack2 has 249 stars on GitHub. Its RepoMasters card: Prototype tier. DeepTrack2 is a modular Python library for generating, manipulating, and…

| Field | Value |
| --- | --- |
| Owner | [DeepTrackAI](https://repo.masters-masters.com/en/owners/DeepTrackAI) |
| Stars | 249 |
| Forks | 67 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2020 |
| Topics | computational-pipelines, data-augmentation, deep-learning, image-processing, machine-learning, microscopy, biophysics, optics, photonics, soft-matter |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [DeepTrackAI/DeepTrack2](https://github.com/DeepTrackAI/DeepTrack2) |

## Repository

DeepTrack2 is a modular Python library for generating, manipulating, and analyzing image data pipelines for machine learning and experimental imaging.

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.