TuragaLab / DECODE

This is the official implementation of our publication "Deep learning enables fast and dense single-molecule localization with high accuracy" (Nature Methods)

Date Created 2020-08-06 (4 years ago)

Commits 1,489 (last one about a year ago)

Stargazers 96 (0 this week)

Watchers 7 (0 this week)

Forks 26

License gpl-3.0

Ranking

RepositoryStats indexes 598,732 repositories, of these TuragaLab/DECODE is ranked #303,654 (49th percentile) for total stargazers, and #272,205 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #56,672/120,199.

TuragaLab/DECODE is also tagged with popular topics, for these it's ranked: deep-learning (#5,188/8543), pytorch (#3,655/6032), gpu (#623/919)

Other Information

TuragaLab/DECODE has Github issues enabled, there are 22 open issues and 111 closed issues.

There have been 23 releases, the latest one was published on 2023-03-15 (about a year ago)

All Topics

gpu smlm pytorch microscopy high-density deep-learning localization-microscopy

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Recent Commit History

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

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Languages

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

updated: 2024-12-12 @ 10:56pm, id: 285689796 / R_kgDOEQdHxA