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active 2024-02-282025-09-23 (UTC)

Complete coverage26,597 / 26,597 hourly files (100%) · 2 absent upstream2023-08-152026-08-27 (UTC)
Events
128
Pushes
18
Pull requests
0
Issues
12
Stars
45
Forks
4

Activity over time

Daily event counts in the loaded window

Line chart, 574 days from 2024-02-28 to 2025-09-23. Pushes: 18 total, peak 8 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 12 total, peak 1 in a day. Comments: 47 total, peak 12 in a day. Stars: 45 total, peak 13 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
alanzhangcs4718025
labixiaochao9008
jwiedler5004
usmarcv4004
hanhung3001
yujiapingff3001
Yebulabula3002
eamonn-zh2002
jc9912061000

Recent activity

Latest issues, pull requests and releases

  • Issue comment#7alanzhangcs2025-09-23 14:14
    Model name based on CLIP
  • Issue comment#7usmarcv2025-09-23 13:45
    Model name based on CLIP
  • Issue comment#7usmarcv2025-09-23 13:14
    Model name based on CLIP
  • Issue comment#7alanzhangcs2025-09-23 01:02
    Model name based on CLIP
  • Issue comment#7usmarcv2025-09-22 23:38
    Model name based on CLIP
  • Issue comment#7usmarcv2025-09-22 20:22
    Model name based on CLIP
  • Issue#6alanzhangcs2025-01-31 15:58
    How are these two in the scanobjectnn dataset file in your meta-data generated?
  • Issue comment#6alanzhangcs2025-01-21 17:27
    How are these two in the scanobjectnn dataset file in your meta-data generated?
  • Issue#6labixiaochao2025-01-16 08:45
    How are these two in the scanobjectnn dataset file in your meta-data generated?
  • Issue#5alanzhangcs2025-01-14 20:54
    Thanks for your work, how can I use your model to do inference directly?
  • Issue comment#5labixiaochao2025-01-11 05:52
    Thanks for your work, how can I use your model to do inference directly?
  • Issue comment#5labixiaochao2025-01-11 05:46
    Thanks for your work, how can I use your model to do inference directly?
  • Issue comment#5labixiaochao2025-01-11 05:45
    Thanks for your work, how can I use your model to do inference directly?
  • Issue comment#5alanzhangcs2025-01-11 03:42
    Thanks for your work, how can I use your model to do inference directly?
  • Issue comment#5labixiaochao2025-01-11 03:41
    Thanks for your work, how can I use your model to do inference directly?
  • Issue comment#5alanzhangcs2025-01-11 03:39
    Thanks for your work, how can I use your model to do inference directly?
  • Issue comment#5labixiaochao2025-01-11 03:36
    Thanks for your work, how can I use your model to do inference directly?
  • Issue comment#5alanzhangcs2025-01-11 03:33
    Thanks for your work, how can I use your model to do inference directly?
  • Issue comment#5alanzhangcs2025-01-11 03:30
    Thanks for your work, how can I use your model to do inference directly?
  • Issue comment#5labixiaochao2025-01-11 03:27
    Thanks for your work, how can I use your model to do inference directly?
  • Issue comment#5alanzhangcs2025-01-11 03:11
    Thanks for your work, how can I use your model to do inference directly?
  • Issue comment#5labixiaochao2025-01-11 03:06
    Thanks for your work, how can I use your model to do inference directly?
  • Issue comment#5alanzhangcs2025-01-10 17:02
    Thanks for your work, how can I use your model to do inference directly?
  • Issue comment#5labixiaochao2025-01-10 15:09
    Thanks for your work, how can I use your model to do inference directly?
  • Issue comment#5alanzhangcs2025-01-10 14:59
    Thanks for your work, how can I use your model to do inference directly?

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 45 stars here means stars gained during the window, not the repo's star count.