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Official implementation of LiFT: Leveraging Human Feedback for Text-to-Video Model Alignment.

active 2025-02-132025-08-23 (UTC)

Partial coverage12,014 / 13,507 hourly files (89%) · 2 absent upstream · 1,489 failed, retryable2025-01-252026-08-10 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
34
Pushes
8
Pull requests
0
Issues
3
Stars
17
Forks
2

Activity over time

Daily event counts in the loaded window

Line chart, 192 days from 2025-02-13 to 2025-08-23. Pushes: 8 total, peak 6 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 3 total, peak 2 in a day. Comments: 4 total, peak 2 in a day. Stars: 17 total, peak 3 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
CodeGoat2412803
Wuziyi6163001

Recent activity

Latest issues, pull requests and releases

  • Issue comment#6CodeGoat242025-05-20 05:06
    How to evaluate the reward model?
  • Issue comment#5Wuziyi6162025-03-16 19:55
    Difference between LiFT-HRA 10k and 20k
  • Issue#5Wuziyi6162025-03-16 19:55
    Difference between LiFT-HRA 10k and 20k
  • Issue comment#5CodeGoat242025-03-16 05:11
    Difference between LiFT-HRA 10k and 20k
  • Issue#5Wuziyi6162025-03-16 03:40
    Difference between LiFT-HRA 10k and 20k
  • Issue comment#4CodeGoat242025-02-27 03:29
    loss for T2V Model Alignment
  • Issue#4CodeGoat242025-02-27 03:29
    loss for T2V Model Alignment

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 17 stars here means stars gained during the window, not the repo's star count.