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Using sparse coding to find distributed representations used by neural networks.

active 2024-09-072026-04-12 (UTC)

Partial coverage14,091 / 16,940 hourly files (83%) · 2 absent upstream · 2,849 failed, retryable2024-09-042026-08-11 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
74
Pushes
0
Pull requests
0
Issues
1
Stars
66
Forks
6

Activity over time

Daily event counts in the loaded window

Line chart, 583 days from 2024-09-07 to 2026-04-12. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 1 total, peak 1 in a day. Comments: 1 total, peak 1 in a day. Stars: 66 total, peak 3 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
JunyanZhangLevi2001

Recent activity

Latest issues, pull requests and releases

  • Issue#21JunyanZhangLevi2024-11-10 12:44
    How to run big_sweep_experiments.py?
  • Issue comment#20JunyanZhangLevi2024-11-10 12:19
    How to Reproduce Training with Auto-Encoder?

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 66 stars here means stars gained during the window, not the repo's star count.