texty / amber-methodology

How to use machine learning to find interesting places on satellite maps

Date Created 2018-04-21 (6 years ago)

Commits 84 (last one 2 years ago)

Stargazers 52 (0 this week)

Watchers 7 (0 this week)

Forks 13

License unknown

Ranking

RepositoryStats indexes 595,856 repositories, of these texty/amber-methodology is ranked #457,315 (23rd percentile) for total stargazers, and #271,583 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #11,963/17,543.

texty/amber-methodology is also tagged with popular topics, for these it's ranked: machine-learning (#6,635/8063)

Other Information

texty/amber-methodology has 8 open pull requests on Github, 0 pull requests have been merged over the lifetime of the repository.

Homepage URL: http://texty.org.ua/d/2018/amber_eng

All Topics

illegal-mining machine-learning satellite-images

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

Yearly Commits

Commits to the default branch (master) per year

Issue History

No issues have been posted

Languages

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

updated: 2024-11-20 @ 12:06pm, id: 130485110 / R_kgDOB8cLdg