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AngelReyero/SLOPE-Adaptive-variable-selection

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This project is part of the evaluation for the Guidelines in ML subject in the second year of the MSc in Mathematics and Artificial Intelligence program at Paris-Saclay University. It focuses on SLOPE, the method introduced by (Bogdan et al., 2015), for variable selection via convex optimization.

active 2024-03-22 → 2024-03-30 (UTC)

Complete coverage27,907 / 27,907 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-20 (UTC)
Events
26
Pushes
14
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 9 days from 2024-03-22 to 2024-03-30. Pushes: 14 total, peak 12 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: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
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  • Stars

Top contributors

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

ContributorContributionsPushesPRsComments
AngelReyero101000
bnafi4400

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 — 0 stars here means stars gained during the window, not the repo's star count.