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 2 years ago)
Stargazers 220 (0 this week)
Watchers 2 (0 this week)
Forks 48
License gpl-3.0
Ranking

RepositoryStats indexes 534,551 repositories, of these syamkakarla98/Hyperspectral_Image_Analysis_Simplified is ranked #157,152 (71st percentile) for total stargazers, and #448,591 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #3,458/14,929.

syamkakarla98/Hyperspectral_Image_Analysis_Simplified is also tagged with popular topics, for these it's ranked: python (#7,597/20447),  hacktoberfest (#5,967/14043),  machine-learning (#2,987/7371),  python3 (#1,159/3810),  tensorflow (#1,017/2165),  data-science (#853/1973),  data-analysis (#265/612),  pandas (#220/545),  classification (#175/507),  remote-sensing (#80/289),  satellite-imagery (#44/132)

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: 2024-06-28 @ 05:34am, id: 227761839 / R_kgDODZNerw