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A One-Stop Reward Model Platform

active 2025-07-092025-12-26 (UTC)

Partial coverage11,488 / 12,486 hourly files (92%) · 2 absent upstream · 994 failed, retryable2025-03-082026-08-10 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
215
Pushes
44
Pull requests
20
Issues
4
Stars
48
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 171 days from 2025-07-09 to 2025-12-26. Pushes: 44 total, peak 12 in a day. Pull requests: 20 total, peak 4 in a day. Issues: 4 total, peak 1 in a day. Comments: 59 total, peak 10 in a day. Stars: 48 total, peak 6 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

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

ContributorContributionsPushesPRsComments
gemini-code-assist[bot]490037
XiaoBoAI333300
helloml032619982
XieLipeng083010172
ployts8043
Alyroy5004
SYSUzhouting1000
JoshonSmith1000
ZhaoyangLiu-Leo1001

Recent activity

Latest issues, pull requests and releases

  • Issue comment#24helloml03262025-11-07 04:19
    Quickstart Guide Installation Instruction is not visible
  • Issue comment#24helloml03262025-11-07 03:10
    Quickstart Guide Installation Instruction is not visible
  • Issue comment#23gemini-code-assist[bot]2025-10-27 06:33
    Docs diataxis
  • Issue comment#22gemini-code-assist[bot]2025-10-21 13:45
    Autorubric gt
  • Issue comment#21gemini-code-assist[bot]2025-10-16 10:15
    [new] auto-rubric
  • Pull request#21XieLipeng08302025-10-16 10:14
  • Pull request#20XieLipeng08302025-10-16 09:40
  • Pull request#20ployts2025-10-16 09:40
  • Pull request#19helloml03262025-09-10 08:48
  • Issue comment#17Alyroy2025-08-21 06:20
    奖励模型训练方式
  • Issue comment#17XieLipeng08302025-08-21 06:17
    奖励模型训练方式
  • Issue#17Alyroy2025-08-15 09:09
    奖励模型训练方式
  • Issue comment#9XieLipeng08302025-08-12 09:48
    是否支持基于偏好对比损失来训练RM
  • Pull request#16XieLipeng08302025-08-12 09:43
  • Pull request#15XieLipeng08302025-08-12 09:39
  • Pull request#15XieLipeng08302025-08-12 09:38
  • Pull request#14XieLipeng08302025-08-12 07:28
  • Issue comment#9Alyroy2025-08-12 03:21
    是否支持基于偏好对比损失来训练RM
  • Issue comment#9Alyroy2025-08-08 09:03
    是否支持基于偏好对比损失来训练RM
  • Issue comment#9Alyroy2025-08-08 08:40
    是否支持基于偏好对比损失来训练RM
  • Pull request#11helloml03262025-08-08 02:34
  • Pull request#13helloml03262025-08-08 02:33
  • Pull request#13XieLipeng08302025-08-04 11:10
  • Pull request#12helloml03262025-08-01 07:18
  • Pull request#11helloml03262025-07-31 12:02

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 48 stars here means stars gained during the window, not the repo's star count.