DeepTrackAI / DeepTrack2

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

Date Created 2020-04-14 (4 years ago)

Commits 1,677 (last one a day ago)

Stargazers 191 (2 this week)

Watchers 10 (0 this week)

Forks 56

License mit

Ranking

RepositoryStats indexes 623,871 repositories, of these DeepTrackAI/DeepTrack2 is ranked #194,125 (69th percentile) for total stargazers, and #192,292 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #4,546/18,705.

DeepTrackAI/DeepTrack2 is also tagged with popular topics, for these it's ranked: deep-learning (#3,721/8753), machine-learning (#3,517/8329), image-processing (#450/1166)

Other Information

DeepTrackAI/DeepTrack2 has 2 open pull requests on Github, 165 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 9 open issues and 86 closed issues.

There have been 19 releases, the latest one was published on 2024-08-26 (6 months ago) with the name DeepTrack2 2.0.0.

Homepage URL: https://deeptrackai.github.io/DeepTrack2/

All Topics

optics photonics biophysics microscopy soft-matter deep-learning superresolution image-processing machine-learning data-augmentation computational-pipelines

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Recent Commit History

655 commits on the default branch (develop) since jan '22

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The primary language is Jupyter Notebook but there's also others...

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updated: 2025-03-07 @ 04:44pm, id: 255534210 / R_kgDODzskgg