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Ongoing research training transformer models at scale on linear attention models

Python · active 2025-04-062026-08-10 (UTC)

Partial coverage11,153 / 11,790 hourly files (95%) · 2 absent upstream · 634 failed, retryable2025-04-062026-08-10 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
24.2K
Pushes
5.4K
Pull requests
2.2K
Issues
1.1K
Stars
1.8K
Forks
460

Activity over time

Daily event counts in the loaded window

Line chart, 492 days from 2025-04-06 to 2026-08-10. Pushes: 5,417 total, peak 50 in a day. Pull requests: 2,159 total, peak 47 in a day. Issues: 1,103 total, peak 36 in a day. Comments: 5,460 total, peak 84 in a day. Stars: 1,777 total, peak 33 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
copy-pr-bot[bot]4.4K3.9K0574
ko3n1g1.1K644246118
github-actions[bot]7550185367
svcnvidia-nemo-ci748124275257
github-merge-queue[bot]61361300
sbhavani533078184
Phlip7951257118239
tdene405084196
chtruong814336496632
santhnm2255044147
claude[bot]25200116
deepakn9419501982
Victarry181024122
yaox1217513387
yanring16301584
jaredcasper1621363
dimapihtar16105385
shjwudp16003682
cspades14903158
maanug-nv14804849

Recent activity

Latest issues, pull requests and releases

  • Issue comment#6312svcnvidia-nemo-ci2026-08-07 22:37
    Add Nemotron 3.5 Lightning GB200 nightly test
  • Pull request#6359wujingyue2026-08-07 22:24
  • Pull request#6354maanug-nv2026-08-07 19:54
  • Issue comment#6350svcnvidia-nemo-ci2026-08-07 19:29
    fix(ci): remove community workflow PAT
  • Issue comment#6229YangFei19902026-08-07 19:20
    [NCCL EP] Support eager mode and overflow handling
  • Issue comment#6229claude[bot]2026-08-07 18:42
    [NCCL EP] Support eager mode and overflow handling
  • Issue comment#6161wujingyue2026-08-07 18:01
    [Prototype] MatrixFSDP-style TensorAtomic placement for MFSDP v2 Muon
  • Issue comment#6074deepakn942026-08-07 17:53
    Gated Delta Product (GDP) implementation
  • Issue comment#6314cspades2026-08-07 17:45
    [QUESTION]Megatron-FSDP ZeRO-2 (optim_grads) has higher peak memory than ZeRO-1/ZeRO-3 due to unsharded temporary main_grad bucket allocation
  • Pull request#6043github-actions[bot]2026-08-07 17:41
  • Issue comment#5972wujingyue2026-08-07 17:37
    Support HFSDP deferred DP-outer gradient reduction
  • Issue comment#6351copy-pr-bot[bot]2026-08-07 17:24
    cp: `set weights_only=True (6150)` into `core_r0.19.0`
  • Issue comment#6351ko3n1g2026-08-07 17:23
    cp: `set weights_only=True (6150)` into `core_r0.19.0`
  • Pull request#6351ko3n1g2026-08-07 17:23
  • Pull request#6351ko3n1g2026-08-07 17:23
  • Issue comment#5972Achyuthan-S2026-08-07 17:18
    Support HFSDP deferred DP-outer gradient reduction
  • Issue comment#6169svcnvidia-nemo-ci2026-08-07 16:55
    Encapsulate symmetric-memory AVG in DBuffer
  • Pull request#6336svcnvidia-nemo-ci2026-08-07 16:48
  • Issue comment#5956copy-pr-bot[bot]2026-08-07 16:35
    Divide expert gradients by the expert-parallel size
  • Pull request#6153svcnvidia-nemo-ci2026-08-07 16:32
  • Pull request#6153svcnvidia-nemo-ci2026-08-07 16:31
  • Issue comment#6350copy-pr-bot[bot]2026-08-07 16:22
    fix(ci): remove community workflow PAT
  • Pull request#6350ko3n1g2026-08-07 16:22
  • Pull request#6338github-actions[bot]2026-08-07 08:01
  • Issue comment#6317copy-pr-bot[bot]2026-08-06 08:07
    [Dev] Make FSDP manual UBR registration deterministic

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1,777 stars here means stars gained during the window, not the repo's star count.