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Official repository of Learning to Act from Actionless Videos through Dense Correspondences.

active 2024-02-152025-12-27 (UTC)

Partial coverage17,124 / 21,870 hourly files (78%) · 2 absent upstream · 4,745 failed, retryable2024-02-132026-08-12 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
115
Pushes
0
Pull requests
0
Issues
5
Stars
99
Forks
9

Activity over time

Daily event counts in the loaded window

Line chart, 682 days from 2024-02-15 to 2025-12-27. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 5 total, peak 2 in a day. Comments: 2 total, peak 2 in a day. Stars: 99 total, peak 2 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
zhangkun073000
Boyangs32002
zlsjsj1000
liongliong1000

Recent activity

Latest issues, pull requests and releases

  • Issue comment#7Boyangs32024-12-21 02:03
    can't find the inverse dynamics model
  • Issue comment#7Boyangs32024-12-21 02:00
    can't find the inverse dynamics model
  • Issue#10zhangkun072024-09-13 03:18
    A code bug.
  • Issue#9zhangkun072024-08-30 06:31
    About Training Model
  • Issue#9zhangkun072024-08-30 06:27
    About Training Model
  • Issue#8liongliong2024-08-15 02:55
    Some questions about the training data
  • Issue#7zlsjsj2024-08-13 06:50
    can't find the inverse dynamics model

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 99 stars here means stars gained during the window, not the repo's star count.