Skip to content

This is an official PyTorch implementation of ASDA (accepted by ACMMM 2024).

active 2024-10-192025-06-09 (UTC)

Partial coverage20,508 / 26,264 hourly files (78%) · 2 absent upstream · 5,753 failed, retryable2023-08-152026-08-13 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
17
Pushes
0
Pull requests
0
Issues
6
Stars
9
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 234 days from 2024-10-19 to 2025-06-09. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 6 total, peak 1 in a day. Comments: 0 total, peak 0 in a day. Stars: 9 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
lcl-git-3d3000
AIZSJ1000
Kimsure1000
wqqqqq07201000

Recent activity

Latest issues, pull requests and releases

  • Issue#7AIZSJ2025-06-09 12:57
    training weight
  • Issue#4wqqqqq07202024-12-19 01:31
    Must be python3.6? there are so many bugs with it
  • Issue#6Kimsure2024-12-17 02:45
    Checkpoint name
  • Issue#2lcl-git-3d2024-11-08 03:12
    mIoU or oIoU?
  • Issue#1lcl-git-3d2024-11-01 11:09
    After running "bash train.sh 0,1", the model does not start training
  • Issue#1lcl-git-3d2024-10-31 07:27
    After running "bash train.sh 0,1", the model does not start training

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 9 stars here means stars gained during the window, not the repo's star count.