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active 2023-10-092025-09-25 (UTC)

Complete coverage26,481 / 26,481 hourly files (100%) · 2 absent upstream2023-08-152026-08-22 (UTC)
Events
11
Pushes
1
Pull requests
0
Issues
4
Stars
2
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 718 days from 2023-10-09 to 2025-09-25. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 4 total, peak 4 in a day. Comments: 0 total, peak 0 in a day. Stars: 2 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
gaos199310244000
teodor-andrei-neacsu1100

Recent activity

Latest issues, pull requests and releases

  • Issue#3gaos199310242025-09-25 03:14
    Each bigram has a predicted label. How to determine the user ID of the entire input sequence during the final test?
  • Issue#2gaos199310242025-09-25 02:10
    why the target of negative sample is 1, positive sample is 0?
  • Issue#3gaos199310242025-09-25 01:55
    Each bigram has a predicted label. How to determine the user ID of the entire input sequence during the final test?
  • Issue#1gaos199310242025-09-25 01:50
    about the train samples, is the code dataset.py is in inconsistent with the paper?

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 2 stars here means stars gained during the window, not the repo's star count.