Skip to content

Open-Book-Studio/THU-Coursework-Machine-Learning-for-Big-Data

View on GitHub ↗Related repositories →

这是本人学习清华大学70240403-200大数据机器学习课程的开源工作,包括对往期Assignment的实现、对Lecture的笔记与理解、对即将来的Project的实现等,欢迎各位同学一起学习一起讨论,对知识取得更好的理解。可在线阅读文档:https://thu-coursework-machine-learning-for-big-data-docs.vercel.app/

active 2024-10-192025-09-26 (UTC)

Partial coverage20,530 / 26,286 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
28
Pushes
19
Pull requests
0
Issues
0
Stars
3
Forks
3

Activity over time

Daily event counts in the loaded window

Line chart, 343 days from 2024-10-19 to 2025-09-26. Pushes: 19 total, peak 7 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: 3 total, peak 1 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
2catycm181800
github-actions[bot]1100

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