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explainingai-code/DiT-PyTorch

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This repo implements Diffusion Transformers(DiT) in PyTorch and provides training and inference code on CelebHQ dataset

active 2024-09-28 → 2026-04-13 (UTC)

Complete coverage27,303 / 27,306 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-25 (UTC)
Events
77
Pushes
7
Pull requests
0
Issues
7
Stars
47
Forks
7

Activity over time

Daily event counts in the loaded window

Line chart, 563 days from 2024-09-28 to 2026-04-13. Pushes: 7 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 7 total, peak 2 in a day. Comments: 8 total, peak 2 in a day. Stars: 47 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
explainingai-code11704
Malengu6003
ahrismile2000
Chinafsh1000
homerjed1000
tusharkumar911001

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 47 stars here means stars gained during the window, not the repo's star count.