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 3 years ago)

Stargazers 52 (0 this week)

Watchers 7 (0 this week)

Forks 13

License unknown

Ranking

RepositoryStats indexes 610,149 repositories, of these texty/amber-methodology is ranked #465,550 (24th percentile) for total stargazers, and #272,747 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #12,272/18,129.

texty/amber-methodology is also tagged with popular topics, for these it's ranked: machine-learning (#6,711/8206)

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

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Recent Commit History

3 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: 2024-11-20 @ 12:06pm, id: 130485110 / R_kgDOB8cLdg