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AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.

active 2023-10-092026-07-15 (UTC)

Complete coverage26,527 / 26,527 hourly files (100%) · 2 absent upstream2023-08-152026-08-24 (UTC)
Events
151
Pushes
9
Pull requests
0
Issues
18
Stars
96
Forks
4

Activity over time

Daily event counts in the loaded window

Line chart, 1011 days from 2023-10-09 to 2026-07-15. Pushes: 9 total, peak 4 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 18 total, peak 2 in a day. Comments: 24 total, peak 4 in a day. Stars: 96 total, peak 3 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
EnnengYang199010
KIM-JAKE6005
monody15004
KexuanShi5001
yifei-he3001
FarisXiong3001
sasgkhgw2000
lejelly2001
DongHwanJang2000
Polly-LYP1000
sorobedio1000
kasurashan1001
aryajalali1000

Recent activity

Latest issues, pull requests and releases

  • Issue#12KexuanShi2025-03-19 06:08
    Cannot Reproduce results of Ties-Merging in ViT-B-32 by the provided codes.
  • Issue#12KexuanShi2025-03-18 13:07
    Cannot Reproduce results of Ties-Merging in ViT-B-32 by the provided codes.
  • Issue comment#11KexuanShi2025-03-17 08:14
    Can not reproduce the Stanford Cars result in ViT-B-16
  • Issue#11KexuanShi2025-03-17 08:14
    Can not reproduce the Stanford Cars result in ViT-B-16
  • Issue comment#11EnnengYang2025-03-17 08:11
    Can not reproduce the Stanford Cars result in ViT-B-16
  • Issue#11KexuanShi2025-03-17 06:42
    Can not reproduce the Stanford Cars result in ViT-B-16
  • Issue comment#10EnnengYang2025-03-16 12:29
    ModuleNotFoundError: No module named 'open_clip.transformer'
  • Issue#10Polly-LYP2025-03-16 04:20
    ModuleNotFoundError: No module named 'open_clip.transformer'
  • Issue comment#9EnnengYang2025-03-09 02:30
    Cannot Load Models - Missing VisualTransformer in open_clip
  • Issue#9aryajalali2025-03-09 00:53
    Cannot Load Models - Missing VisualTransformer in open_clip
  • Issue comment#8lejelly2025-02-17 08:26
    [Question] Concerns about gradient propagation through .cuda() operations in CPU→GPU transfers
  • Issue comment#8EnnengYang2025-02-12 06:52
    [Question] Concerns about gradient propagation through .cuda() operations in CPU→GPU transfers
  • Issue#8lejelly2025-02-10 03:51
    [Question] About gradient propagation with .cpu() in parameter merging
  • Issue#6FarisXiong2024-11-19 10:28
    Reproduce EuroSAT Results with ViT-L-14 and ViT-B-32 Models
  • Issue comment#7KIM-JAKE2024-09-06 06:50
    Memory management in training process
  • Issue comment#7KIM-JAKE2024-09-06 06:46
    Memory management in training process
  • Issue comment#7EnnengYang2024-09-06 06:44
    Memory management in training process
  • Issue comment#7kasurashan2024-09-06 06:31
    Memory management in training process
  • Issue comment#7EnnengYang2024-09-04 04:22
    Memory management in training process
  • Issue comment#7KIM-JAKE2024-09-03 15:19
    Memory management in training process
  • Issue comment#6FarisXiong2024-09-02 03:03
    Reproduce EuroSAT Results with ViT-L-14 and ViT-B-32 Models
  • Issue comment#7KIM-JAKE2024-08-31 13:37
    Memory management in training process
  • Issue comment#7EnnengYang2024-08-31 12:53
    Memory management in training process
  • Issue comment#7KIM-JAKE2024-08-31 02:47
    Memory management in training process
  • Issue comment#7EnnengYang2024-08-30 12:19
    Memory management in training process

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 96 stars here means stars gained during the window, not the repo's star count.