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https://github.com/lisette-espin/povertymaps
Interpreting wealth distribution via poverty map inference using multimodal data
https://github.com/lisette-espin/povertymaps
antennas catboost-model catboostregressor cnn-model crowdsourced-data deep-learning demographics explainable-ai infrastructure interpretable-ai machine-learning mean mobility online-data open-street-map poverty-estimates satellite-imagery stddev
Last synced: about 1 month ago
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Interpreting wealth distribution via poverty map inference using multimodal data
- Host: GitHub
- URL: https://github.com/lisette-espin/povertymaps
- Owner: lisette-espin
- License: other
- Created: 2023-02-15T16:37:02.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-10-23T16:24:31.000Z (2 months ago)
- Last Synced: 2024-10-23T21:59:41.013Z (2 months ago)
- Topics: antennas, catboost-model, catboostregressor, cnn-model, crowdsourced-data, deep-learning, demographics, explainable-ai, infrastructure, interpretable-ai, machine-learning, mean, mobility, online-data, open-street-map, poverty-estimates, satellite-imagery, stddev
- Language: Jupyter Notebook
- Homepage: https://vis.csh.ac.at/poverty-maps/
- Size: 453 MB
- Stars: 5
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
- Citation: citation.cff