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 89 (0 this week)

Watchers 7 (0 this week)

Forks 26

License gpl-3.0

Ranking

RepositoryStats indexes 565,279 repositories, of these TuragaLab/DECODE is ranked #306,394 (46th percentile) for total stargazers, and #265,423 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #56,467/111,292.

TuragaLab/DECODE is also tagged with popular topics, for these it's ranked: deep-learning (#5,211/8171), pytorch (#3,684/5822), gpu (#621/875)

Other Information

TuragaLab/DECODE has Github issues enabled, there are 21 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

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

Yearly Commits

Commits to the default branch (master) per year

Issue History

Languages

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

updated: 2024-09-12 @ 04:48am, id: 285689796 / R_kgDOEQdHxA