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NeurIPS 2023: Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation

active 2023-10-062026-02-28 (UTC)

Partial coverage23,161 / 26,312 hourly files (88%) · 2 absent upstream · 3,150 failed, retryable2023-08-152026-08-15 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
146
Pushes
16
Pull requests
0
Issues
20
Stars
74
Forks
3

Activity over time

Daily event counts in the loaded window

Line chart, 877 days from 2023-10-06 to 2026-02-28. Pushes: 16 total, peak 6 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 20 total, peak 3 in a day. Comments: 30 total, peak 6 in a day. Stars: 74 total, peak 4 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
McGregorWwww3016010
hhjjaaa12009
wangmingaaaaa11006
ieeedre3001
shuaiaihang3002
Heanhu2000
PKQZPC1000
geek-APTX48691000
Halleyawoo1000
chrislouis01061001
Flash98-cc1001

Recent activity

Latest issues, pull requests and releases

  • Issue comment#15hhjjaaa2025-07-05 13:06
    Hello, the code is not modified, but the results are different and the results are very different, what is the way to avoid these unstable factors
  • Issue comment#15chrislouis01062025-07-05 08:16
    Hello, the code is not modified, but the results are different and the results are very different, what is the way to avoid these unstable factors
  • Issue#16geek-APTX48692025-05-23 08:23
    difference of data
  • Issue#15hhjjaaa2025-03-08 15:43
    Hello, the code is not modified, but the results are different and the results are very different, what is the way to avoid these unstable factors
  • Issue comment#13hhjjaaa2025-03-08 15:40
    Question about Training Results Discrepancy
  • Issue comment#13hhjjaaa2025-03-08 15:40
    Question about Training Results Discrepancy
  • Issue#13Halleyawoo2025-01-29 02:01
    Question about Training Results Discrepancy
  • Issue comment#12hhjjaaa2025-01-07 06:20
    Diffusion denoising branches are useless in unlabelled data
  • Issue comment#12hhjjaaa2025-01-06 04:42
    Diffusion denoising branches are useless in unlabelled data
  • Issue comment#12hhjjaaa2025-01-06 02:58
    Diffusion denoising branches are useless in unlabelled data
  • Issue comment#12McGregorWwww2025-01-06 02:12
    Diffusion denoising branches are useless in unlabelled data
  • Issue comment#11McGregorWwww2025-01-06 02:07
    negative losses
  • Issue comment#11Flash98-cc2025-01-06 02:03
    negative losses
  • Issue comment#12hhjjaaa2025-01-04 11:11
    Diffusion denoising branches are useless in unlabelled data
  • Issue comment#12hhjjaaa2025-01-04 09:18
    Diffusion denoising branches are useless in unlabelled data
  • Issue comment#12hhjjaaa2025-01-04 08:15
    Diffusion denoising branches are useless in unlabelled data
  • Issue#12hhjjaaa2025-01-04 08:11
    Diffusion denoising branches are useless in unlabelled data
  • Issue comment#11McGregorWwww2024-12-31 09:44
    negative losses
  • Issue#11hhjjaaa2024-10-31 08:21
    negative losses
  • Issue#10McGregorWwww2024-05-17 01:08
    Request more detailed experimental parameters
  • Issue#8McGregorWwww2024-04-30 02:49
    Running with other dataset
  • Issue#9McGregorWwww2024-04-30 02:49
    Request more detailed experimental parameters
  • Issue comment#10McGregorWwww2024-04-30 02:49
    Request more detailed experimental parameters
  • Issue#10shuaiaihang2024-04-30 01:53
    Request more detailed experimental parameters
  • Issue comment#9shuaiaihang2024-04-26 02:09
    Request more detailed experimental parameters

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 74 stars here means stars gained during the window, not the repo's star count.