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SpringNuance/Special-Course-Machine-Learning-For-Climate-Action

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This course covers computer vision for remote sensing of farms, forests and emissions; causal inference for improving energy efficiency of buildings and cities, time-series forecasting for managing transport emissions, and unsupervised learning in electricity systems. It also covers methods to obtain real data from satellites and other data sources

active 2024-02-14 → 2024-06-08 (UTC)

Partial coverage21,400 / 26,307 hourly files (81%) · 2 absent upstream · 4,906 failed, retryable2023-08-15 → 2026-08-15 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
5
Pushes
2
Pull requests
0
Issues
0
Stars
2
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 116 days from 2024-02-14 to 2024-06-08. Pushes: 2 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 2 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
SpringNuance2200

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 2 stars here means stars gained during the window, not the repo's star count.