Skip to content

Graph-and-Geometric-Learning/MindLLM

View on GitHub ↗Related repositories →

active 2025-06-022026-01-23 (UTC)

Partial coverage12,061 / 13,630 hourly files (88%) · 2 absent upstream · 1,565 failed, retryable2025-01-202026-08-10 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
34
Pushes
5
Pull requests
0
Issues
2
Stars
10
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 236 days from 2025-06-02 to 2026-01-23. Pushes: 5 total, peak 4 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 2 total, peak 1 in a day. Comments: 12 total, peak 8 in a day. Stars: 10 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
Boltzmachine8007
geoffreyfan5004
Zero-coder1001

Recent activity

Latest issues, pull requests and releases

  • Issue comment#3Boltzmachine2026-01-09 00:03
    Error when calling trainer.test(ckpt_path="best"): ModelCheckpoint is not configured to save the best model
  • Issue#2Boltzmachine2026-01-06 15:28
    May I ask if your COCO-Caption metrics were also obtained through two-stage training? What learning rate did you set for the second-stage fine-tuning?
  • Issue comment#1Boltzmachine2025-11-19 03:00
    Asking for visualization code
  • Issue comment#2Boltzmachine2025-11-19 02:24
    May I ask if your COCO-Caption metrics were also obtained through two-stage training? What learning rate did you set for the second-stage fine-tuning?
  • Issue comment#2geoffreyfan2025-11-19 02:23
    May I ask if your COCO-Caption metrics were also obtained through two-stage training? What learning rate did you set for the second-stage fine-tuning?
  • Issue comment#2geoffreyfan2025-11-19 02:21
    May I ask if your COCO-Caption metrics were also obtained through two-stage training? What learning rate did you set for the second-stage fine-tuning?
  • Issue comment#2Boltzmachine2025-11-19 02:21
    May I ask if your COCO-Caption metrics were also obtained through two-stage training? What learning rate did you set for the second-stage fine-tuning?
  • Issue comment#2geoffreyfan2025-11-19 02:20
    May I ask if your COCO-Caption metrics were also obtained through two-stage training? What learning rate did you set for the second-stage fine-tuning?
  • Issue comment#2Boltzmachine2025-11-19 02:05
    May I ask if your COCO-Caption metrics were also obtained through two-stage training? What learning rate did you set for the second-stage fine-tuning?
  • Issue comment#2geoffreyfan2025-11-19 01:31
    May I ask if your COCO-Caption metrics were also obtained through two-stage training? What learning rate did you set for the second-stage fine-tuning?
  • Issue comment#1Boltzmachine2025-11-18 21:06
    Asking for visualization code
  • Issue comment#2Boltzmachine2025-11-18 20:58
    May I ask if your COCO-Caption metrics were also obtained through two-stage training? What learning rate did you set for the second-stage fine-tuning?
  • Issue#2geoffreyfan2025-10-31 19:20
    May I ask if your COCO-Caption metrics were also obtained through two-stage training? What learning rate did you set for the second-stage fine-tuning?
  • Issue comment#1Zero-coder2025-08-31 14:05
    Asking for visualization code

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 10 stars here means stars gained during the window, not the repo's star count.