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LearningToOptimize/L2ODLL.jl

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JuMP implementation of Dual Lagrangian Learning for Conic Optimization

active 2025-06-082025-07-28 (UTC)

Partial coverage11,933 / 13,366 hourly files (89%) · 2 absent upstream · 1,429 failed, retryable2025-01-312026-08-10 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
72
Pushes
49
Pull requests
6
Issues
5
Stars
1
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 51 days from 2025-06-08 to 2025-07-28. Pushes: 49 total, peak 19 in a day. Pull requests: 6 total, peak 3 in a day. Issues: 5 total, peak 2 in a day. Comments: 6 total, peak 3 in a day. Stars: 1 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
klamike422665
github-actions[bot]232300
ivanightingale1001

Recent activity

Latest issues, pull requests and releases

  • Pull request#14klamike2025-07-28 16:24
  • Pull request#14klamike2025-07-28 16:17
  • Issue#13klamike2025-07-19 07:12
    zeros(AffExpr) not safe
  • Issue comment#5klamike2025-07-08 21:05
    Closed-form gradient for generic case
  • Issue comment#5klamike2025-07-08 20:58
    Closed-form gradient for generic case
  • Issue comment#5klamike2025-07-08 20:55
    Closed-form gradient for generic case
  • Pull request#11klamike2025-06-18 19:23
  • Pull request#10klamike2025-06-18 19:00
  • Pull request#10klamike2025-06-18 16:56
  • Issue comment#7klamike2025-06-13 23:36
    Add the DCP of Qiu et al
  • Issue comment#7ivanightingale2025-06-13 21:17
    Add the DCP of Qiu et al
  • Issue#9klamike2025-06-11 18:43
    JuMP-based projection
  • Issue#3klamike2025-06-10 21:58
    User-facing decomposition API
  • Pull request#8klamike2025-06-10 21:58
  • Issue#4klamike2025-06-10 17:02
    User-facing objective/gradient API
  • Issue#1klamike2025-06-09 20:46
    Documentation

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.