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active 2023-08-252026-02-03 (UTC)

Partial coverage20,543 / 26,299 hourly files (78%) · 2 absent upstream · 5,753 failed, retryable2023-08-152026-08-14 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
52
Pushes
44
Pull requests
0
Issues
3
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 894 days from 2023-08-25 to 2026-02-03. Pushes: 44 total, peak 11 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 3 total, peak 1 in a day. Comments: 5 total, peak 2 in a day. Stars: 0 total, peak 0 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
formath494402
Daemon-ser2002
LXF00471001

Recent activity

Latest issues, pull requests and releases

  • Issue#44formath2026-02-03 09:07
    对业界llm的各种强化学习策略做个梳理 - Blog
  • Issue#37formath2024-04-10 01:54
    点击率模型负采样后校准方法 - J.P.Liu's Blog
  • Issue#35formath2024-01-24 05:44
    点击率预估中的用户行为序列建模 - J.P.Liu's Blog
  • Issue comment#32Daemon-ser2023-11-24 07:55
    chatgpt的强化学习策略 - J.P.Liu's Blog
  • Issue comment#32Daemon-ser2023-11-24 07:49
    chatgpt的强化学习策略 - J.P.Liu's Blog
  • Issue comment#26formath2023-08-29 07:35
    chatgpt量化分析(二) - 存储占用分析 - J.P.Liu's Blog
  • Issue comment#26formath2023-08-27 03:35
    chatgpt量化分析(二) - 存储占用分析 - J.P.Liu's Blog
  • Issue comment#26LXF00472023-08-25 09:32
    chatgpt量化分析(二) - 存储占用分析 - J.P.Liu's Blog

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.