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GitHub / thinkingmachines / unicef-ai4d-poverty-mapping

UNICEF AI4D Relative Wealth Mapping Project - datasets, models, and scripts for building relative wealth estimation models across Southeast Asia (SEA)

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thinkingmachines%2Funicef-ai4d-poverty-mapping

Stars: 16
Forks: 6
Open Issues: 18

License: mit
Language: Jupyter Notebook
Repo Size: 151 MB
Dependencies: 153

Created: over 1 year ago
Updated: 6 days ago
Last pushed: 6 days ago
Last synced: 6 days ago

Commit Stats

Commits: 342
Authors: 10
Mean commits per author: 34.2
Development Distribution Score: 0.491
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/thinkingmachines/unicef-ai4d-poverty-mapping

Topics: geospatial-analysis, machine-learning, social-impact

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    Dependencies
    requirements.in pypi
    Dockerfile docker
    environment.yml pypi
    pyproject.toml pypi
    setup.py pypi
    requirements.txt pypi