syamkakarla98 / Hyperspectral_Image_Analysis_Simplified

The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.

syamkakarla98
syamkakarla98
Date Created 2019-12-13 (4 years ago)
Commits 60 (last one 3 years ago)
Stargazers 224 (0 this week)
Watchers 2 (0 this week)
Forks 48
License gpl-3.0
Ranking

RepositoryStats indexes 579,555 repositories, of these syamkakarla98/Hyperspectral_Image_Analysis_Simplified is ranked #163,770 (72nd percentile) for total stargazers, and #476,089 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #3,709/16,901.

syamkakarla98/Hyperspectral_Image_Analysis_Simplified is also tagged with popular topics, for these it's ranked: python (#7,891/21870),  hacktoberfest (#6,333/15269),  machine-learning (#3,107/7877),  python3 (#1,202/4065),  tensorflow (#1,023/2233),  data-science (#880/2096),  data-analysis (#277/656),  pandas (#224/574),  classification (#183/534),  remote-sensing (#84/324),  satellite-imagery (#45/139)

Other Information

syamkakarla98/Hyperspectral_Image_Analysis_Simplified has 2 open pull requests on Github, 4 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 2 open issues and 1 closed issue.

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

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The only known language in this repository is Jupyter Notebook

updated: 2024-11-05 @ 03:59pm, id: 227761839 / R_kgDODZNerw