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Implement an intelligent task scheduler that uses machine learning algorithms to predict the resource needs of different tasks and optimally schedules them on the system.

active 2024-01-042024-12-23 (UTC)

Complete coverage26,676 / 26,676 hourly files (100%) · 2 absent upstream2023-08-152026-08-30 (UTC)
Events
45
Pushes
25
Pull requests
11
Issues
0
Stars
4
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 355 days from 2024-01-04 to 2024-12-23. Pushes: 25 total, peak 9 in a day. Pull requests: 11 total, peak 7 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 4 total, peak 2 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
dtruong46me18990
WValleyy101000
dncq5500
LiarAce4113120

Recent activity

Latest issues, pull requests and releases

  • Pull request#7dtruong46me2024-01-09 10:24
  • Pull request#6dtruong46me2024-01-09 07:35
  • Pull request#6dtruong46me2024-01-09 07:35
  • Pull request#5LiarAce4112024-01-08 17:47
  • Pull request#4LiarAce4112024-01-08 17:45
  • Pull request#3dtruong46me2024-01-08 07:22
  • Pull request#3dtruong46me2024-01-08 07:13
  • Pull request#2dtruong46me2024-01-08 06:17
  • Pull request#2dtruong46me2024-01-08 06:13
  • Pull request#1dtruong46me2024-01-08 06:12
  • Pull request#1dtruong46me2024-01-07 10:25

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 4 stars here means stars gained during the window, not the repo's star count.