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athms/learning-from-brains

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Self-supervised learning techniques for neuroimaging data inspired by prominent learning frameworks in natural language processing + One of the broadest neuroimaging datasets used for pre-training to date.

active 2023-08-16 → 2026-01-22 (UTC)

Complete coverage28,045 / 28,045 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-26 (UTC)
Events
82
Pushes
0
Pull requests
2
Issues
6
Stars
60
Forks
12

Activity over time

Daily event counts in the loaded window

Line chart, 891 days from 2023-08-16 to 2026-01-22. Pushes: 0 total, peak 0 in a day. Pull requests: 2 total, peak 2 in a day. Issues: 6 total, peak 1 in a day. Comments: 2 total, peak 2 in a day. Stars: 60 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
yarikoptic2020
TingtingChentt2000
Shah-web-072001
athms1001
rgbayrak1000
y10ab11000
artkpv1000

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 60 stars here means stars gained during the window, not the repo's star count.