ZauggGroup / DeePiCt

Pipeline for the automatic detection and segmentation of particles and cellular structures in 3D Cryo-ET data, based on deep learning (convolutional neural networks).

Date Created 2022-01-07 (2 years ago)

Commits 231 (last one 9 months ago)

Stargazers 30 (0 this week)

Watchers 4 (0 this week)

Forks 9

License apache-2.0

Ranking

RepositoryStats indexes 579,555 repositories, of these ZauggGroup/DeePiCt is ranked #555,316 (4th percentile) for total stargazers, and #371,737 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #109,422/115,123.

ZauggGroup/DeePiCt is also tagged with popular topics, for these it's ranked: deep-learning (#8,138/8344), segmentation (#611/625), cnn (#526/540)

Other Information

ZauggGroup/DeePiCt has 1 open pull request on Github, 4 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 4 open issues and 14 closed issues.

All Topics

cnn unet biology cryo-et segmentation deep-learning structural-biology

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67 commits on the default branch (main) since jan '22

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The primary language is Python but there's also others...

updated: 2024-10-17 @ 01:45pm, id: 445356206 / R_kgDOGouYrg