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This is an open-source repository based on our paper, primarily applied in the field of remote sensing image compression.

active 2023-11-132025-10-05 (UTC)

Complete coverage26,435 / 26,435 hourly files (100%) · 2 absent upstream2023-08-152026-08-20 (UTC)
Events
43
Pushes
13
Pull requests
0
Issues
6
Stars
16
Forks
5

Activity over time

Daily event counts in the loaded window

Line chart, 693 days from 2023-11-13 to 2025-10-05. Pushes: 13 total, peak 9 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 6 total, peak 2 in a day. Comments: 1 total, peak 1 in a day. Stars: 16 total, peak 1 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
shao15xiang151301
3sanyu2000
YuKDseele2000
mlkk5181000

Recent activity

Latest issues, pull requests and releases

  • Issue#53sanyu2025-01-08 12:38
    关于GMM与AE(Arithmetic encoder)
  • Issue#43sanyu2024-12-15 15:27
    希望提供一些更详细的运行帮助文件,十分感谢!
  • Issue#3mlkk5182024-10-22 14:07
    The testing code and pretrained models
  • Issue#2YuKDseele2024-06-11 07:35
    The role of the CM module in the entropy model
  • Issue comment#1shao15xiang2024-03-23 08:19
    Bpp is high when training on the Dior dataset
  • Issue#1shao15xiang2024-03-23 08:19
    Bpp is high when training on the Dior dataset
  • Issue#1YuKDseele2024-03-23 02:24
    Bpp is high when training on the Dior dataset

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 16 stars here means stars gained during the window, not the repo's star count.