MLI-lab / DeepDeWedge

Self-supervised deep learning for denoising and missing wedge reconstruction of cryo-ET tomograms

Date Created 2023-10-12 (about a year ago)

Commits 70 (last one 12 days ago)

Stargazers 36 (0 this week)

Watchers 3 (0 this week)

Forks 8

License bsd-2-clause

Ranking

RepositoryStats indexes 595,856 repositories, of these MLI-lab/DeepDeWedge is ranked #540,805 (9th percentile) for total stargazers, and #427,587 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #15,176/17,543.

MLI-lab/DeepDeWedge is also tagged with popular topics, for these it's ranked: deep-learning (#8,007/8512)

Other Information

MLI-lab/DeepDeWedge has Github issues enabled, there are 5 open issues and 14 closed issues.

All Topics

cryo-et denoising tomography deep-learning missing-wedge self-supervised-learning

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Recent Commit History

70 commits on the default branch (master) since jan '22

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

updated: 2024-12-10 @ 02:01pm, id: 703882006 / R_kgDOKfRjFg