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mx-mark/VideoTransformer-pytorch

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PyTorch implementation of a collections of scalable Video Transformer Benchmarks.

active 2023-08-232026-01-15 (UTC)

Complete coverage26,367 / 26,367 hourly files (100%) · 2 absent upstream2023-08-152026-08-17 (UTC)
Events
128
Pushes
0
Pull requests
0
Issues
3
Stars
105
Forks
16

Activity over time

Daily event counts in the loaded window

Line chart, 877 days from 2023-08-23 to 2026-01-15. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 3 total, peak 1 in a day. Comments: 4 total, peak 1 in a day. Stars: 105 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
zz01262002
FJNU-LWP1000
call-me-akeiang1001
wjjdeeplearning1000
hemengfan20021001
Hammer-8881000

Recent activity

Latest issues, pull requests and releases

  • Issue comment#34zz01262025-02-27 14:00
    How can ViViT be used to extract video features?
  • Issue comment#37hemengfan20022024-12-23 12:54
    How to test my trained model?
  • Issue comment#37call-me-akeiang2024-11-05 09:32
    How to test my trained model?
  • Issue comment#24zz01262024-04-07 09:07
    Missing keys in demo notebook
  • Issue#38Hammer-8882023-11-07 09:05
    how to make datasets use my own videos
  • Issue#37FJNU-LWP2023-10-13 02:20
    How to test my trained model?
  • Issue#36wjjdeeplearning2023-09-21 09:18
    where is vit-b pretrained model on imagenet-21k?

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 105 stars here means stars gained during the window, not the repo's star count.