HSG-AIML / IndustrialSmokePlumeDetection

Code Repository for: "Characterization of Industrial Smoke Plumes from Remote Sensing Data", presented at Tackling Climate Change with Machine Learning workshop at NeurIPS 2020.

Date Created 2020-11-06 (4 years ago)

Commits 6 (last one 3 years ago)

Stargazers 40 (0 this week)

Watchers 5 (0 this week)

Forks 6

License gpl-3.0

Ranking

RepositoryStats indexes 584,777 repositories, of these HSG-AIML/IndustrialSmokePlumeDetection is ranked #513,092 (12th percentile) for total stargazers, and #332,458 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #99,528/116,437.

HSG-AIML/IndustrialSmokePlumeDetection is also tagged with popular topics, for these it's ranked: deep-learning (#7,664/8398), machine-learning (#7,242/7935), remote-sensing (#280/329)

Other Information

HSG-AIML/IndustrialSmokePlumeDetection has Github issues enabled, there is 1 open issue and 0 closed issues.

All Topics

deep-learning remote-sensing machine-learning earth-observation pollution-prediction greenhouse-gas-emissions

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

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The only known language in this repository is Python

updated: 2024-11-04 @ 09:35pm, id: 310629749 / R_kgDOEoPVdQ