syamkakarla98 / Satellite_Imagery_Analysis

Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.

Date Created 2021-01-07 (3 years ago)
Commits 28 (last one 2 years ago)
Stargazers 242 (0 this week)
Watchers 6 (0 this week)
Forks 125
License gpl-3.0
Ranking

RepositoryStats indexes 595,856 repositories, of these syamkakarla98/Satellite_Imagery_Analysis is ranked #157,889 (74th percentile) for total stargazers, and #300,666 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #3,559/17,543.

syamkakarla98/Satellite_Imagery_Analysis is also tagged with popular topics, for these it's ranked: python (#7,663/22324),  hacktoberfest (#6,082/15285),  deep-learning (#3,207/8512),  python3 (#1,144/4145),  data-visualization (#386/922),  hacktoberfest-accepted (#134/734),  data-analysis (#269/671),  classification (#172/543),  analysis (#169/415),  remote-sensing (#80/334),  satellite-imagery (#42/145)

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syamkakarla98/Satellite_Imagery_Analysis has Github issues enabled, there are 5 open issues and 1 closed issue.

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

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The only known language in this repository is Jupyter Notebook

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syamkakarla98/Satellite_Imagery_Analysis

updated: 2024-12-18 @ 08:36pm, id: 327571172 / R_kgDOE4ZW5A