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[NeurIPS 2025] Official Repo of Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration

active 2025-05-272026-04-01 (UTC)

Partial coverage11,222 / 11,951 hourly files (94%) · 2 absent upstream · 726 failed, retryable2025-03-302026-08-10 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
82
Pushes
4
Pull requests
2
Issues
6
Stars
58
Forks
3

Activity over time

Daily event counts in the loaded window

Line chart, 310 days from 2025-05-27 to 2026-04-01. Pushes: 4 total, peak 2 in a day. Pull requests: 2 total, peak 1 in a day. Issues: 6 total, peak 2 in a day. Comments: 7 total, peak 3 in a day. Stars: 58 total, peak 21 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
Jxzh20204301
AlexiaJM3002
Z-MU-Z3011
erjanmx1010
WJJArvin1000
gak971000
CJack8121000
haoz02061100
JoshonSmith1000
PussyCat07001001
peterwisu1001
TOM-ZHOUch1001
HPUhushicheng1000

Recent activity

Latest issues, pull requests and releases

  • Issue comment#7peterwisu2026-04-01 15:08
    Training compute / resources used for Omni-R1 (GPU type/count, time, steps)
  • Issue comment#8Z-MU-Z2025-12-16 07:27
    Qwen2.5-Omni微调的是thinker部分还是talker部分?
  • Issue#8JoshonSmith2025-12-16 02:54
    Qwen2.5-Omni微调的是thinker部分还是talker部分?
  • Issue#7WJJArvin2025-12-13 02:18
    Training compute / resources used for Omni-R1 (GPU type/count, time, steps)
  • Issue comment#6PussyCat07002025-12-02 03:33
    What are the connections and differences between Omni-R1 and R1-Omni?
  • Issue comment#2TOM-ZHOUch2025-09-25 14:10
    Release the segmentation and evaluation code, training scripts
  • Issue#6HPUhushicheng2025-09-02 15:42
    What are the connections and differences between Omni-R1 and R1-Omni?
  • Issue#5CJack8122025-09-02 05:40
    why there is no think tag in the output
  • Issue#4gak972025-06-28 21:12
    Dataset preparation info does not exist
  • Issue comment#3Jxzh20202025-06-10 19:43
    is it possible to serve the model using a server (vllm, sglang, etc.)
  • Issue comment#3AlexiaJM2025-06-10 15:12
    is it possible to serve the model using a server (vllm, sglang, etc.)
  • Issue comment#3AlexiaJM2025-06-10 14:36
    is it possible to serve the model using a server (vllm, sglang, etc.)
  • Issue#3AlexiaJM2025-06-10 12:57
    is it possible to serve the model using a server (vllm, sglang, etc.)
  • Pull request#1Z-MU-Z2025-06-03 06:28
  • Pull request#1erjanmx2025-06-01 18:00

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 58 stars here means stars gained during the window, not the repo's star count.