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PyTorch implementation of DiffMoE, TC-DiT, EC-DiT and Dense DiT: Dynamic Token Selection for Scalable Diffusion Transformers

active 2025-03-202025-11-10 (UTC)

Complete coverage26,738 / 26,738 hourly files (100%) · 2 absent upstream2023-08-152026-09-02 (UTC)
Events
121
Pushes
5
Pull requests
0
Issues
3
Stars
105
Forks
4

Activity over time

Daily event counts in the loaded window

Line chart, 236 days from 2025-03-20 to 2025-11-10. Pushes: 5 total, peak 5 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 3 total, peak 1 in a day. Comments: 3 total, peak 2 in a day. Stars: 105 total, peak 29 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
shiml208502
Anny03041000
yhlleo1001
NielsRogge1000

Recent activity

Latest issues, pull requests and releases

  • Issue comment#3yhlleo2025-10-15 06:07
    Errors in the evaluator
  • Issue comment#2shiml202025-05-03 02:18
    Could you explain how to get the equation of Average Activated Parameters?
  • Issue#2shiml202025-05-03 02:18
    Could you explain how to get the equation of Average Activated Parameters?
  • Issue comment#2shiml202025-05-03 02:09
    Could you explain how to get the equation of Average Activated Parameters?
  • Issue#2Anny03042025-04-14 11:24
    Could you explain how to get the equation of Average Activated Parameters?
  • Issue#1NielsRogge2025-03-22 18:09
    Release DiffMoE model checkpoints on Hugging Face

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 105 stars here means stars gained during the window, not the repo's star count.