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active 2024-05-162026-07-06 (UTC)

Partial coverage20,510 / 26,266 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
36
Pushes
5
Pull requests
0
Issues
11
Stars
6
Forks
2

Activity over time

Daily event counts in the loaded window

Line chart, 782 days from 2024-05-16 to 2026-07-06. Pushes: 5 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 11 total, peak 5 in a day. Comments: 12 total, peak 4 in a day. Stars: 6 total, peak 1 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
shijinjin128004
shihe4077004
ArjunNarayanan6204
numisveinsson3300
mihoo7872000
xulucheng72000

Recent activity

Latest issues, pull requests and releases

  • Issue#13mihoo7872025-06-06 07:27
    Training loss value files and the trained models
  • Issue#9mihoo7872025-05-07 04:54
    Mismatched Coordinate Scales of Meshes in MMWHS MR Data
  • Issue comment#8shihe4072024-08-23 10:42
    How to use other datasets to training?
  • Issue comment#7shihe4072024-07-25 05:25
    How to calculate the correlation metrics for a linear-flow model?
  • Issue comment#7ArjunNarayanan2024-07-25 04:58
    How to calculate the correlation metrics for a linear-flow model?
  • Issue comment#7shihe4072024-07-25 02:43
    How to calculate the correlation metrics for a linear-flow model?
  • Issue#5shihe4072024-07-10 05:48
    thanks for the great ideas .Can u provide the pretrained models? i just want to try the network without training and see how it works
  • Issue#6shihe4072024-07-09 05:48
    some questions about visualisation
  • Issue comment#2shihe4072024-07-06 05:45
    about highres_template_distance.vtk
  • Issue#5shihe4072024-07-03 01:17
    thanks for the great ideas .Can u provide the pretrained models? i just want to try the network without training and see how it works
  • Issue comment#3ArjunNarayanan2024-05-29 01:37
    "pretrained_linear_transform" in /config/flow_deformation.yml
  • Issue comment#3shijinjin122024-05-29 01:34
    "pretrained_linear_transform" in /config/flow_deformation.yml
  • Issue comment#3shijinjin122024-05-24 05:18
    "pretrained_linear_transform" in /config/flow_deformation.yml
  • Issue comment#3ArjunNarayanan2024-05-24 05:10
    "pretrained_linear_transform" in /config/flow_deformation.yml
  • Issue comment#3shijinjin122024-05-24 05:08
    "pretrained_linear_transform" in /config/flow_deformation.yml
  • Issue comment#3ArjunNarayanan2024-05-24 03:07
    "pretrained_linear_transform" in /config/flow_deformation.yml
  • Issue#4shijinjin122024-05-24 02:50
    "pretrained_linear_transform" in /config/flow_deformation.yml
  • Issue#2xulucheng72024-05-24 02:49
    about highres_template_distance.vtk
  • Issue#3shijinjin122024-05-24 02:44
    "pretrained_linear_transform" in /config/flow_deformation.yml
  • Issue#3shijinjin122024-05-24 02:44
    "pretrained_linear_transform" in /config/flow_deformation.yml
  • Issue#3shijinjin122024-05-24 02:44
    "pretrained_linear_transform" in /config/flow_deformation.yml
  • Issue#2xulucheng72024-05-22 01:49
    about highres_template_distance.vtk
  • Issue comment#1shijinjin122024-05-16 01:02
    python version

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 6 stars here means stars gained during the window, not the repo's star count.