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riverback/pytorch_attribution

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Attribution methods to explain image classification models, implemented in PyTorch, and supports batch input and GPU.

active 2024-02-272025-06-08 (UTC)

Complete coverage26,771 / 26,771 hourly files (100%) · 2 absent upstream2023-08-152026-09-03 (UTC)
Events
80
Pushes
38
Pull requests
0
Issues
2
Stars
38
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 468 days from 2024-02-27 to 2025-06-08. Pushes: 38 total, peak 14 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 2 total, peak 2 in a day. Comments: 1 total, peak 1 in a day. Stars: 38 total, peak 13 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
riverback403801
forypipi1000

Recent activity

Latest issues, pull requests and releases

  • Issue#1riverback2024-03-18 09:30
    Faster one_hot encode
  • Issue comment#1riverback2024-03-18 09:30
    Faster one_hot encode
  • Issue#1forypipi2024-03-18 09:12
    Faster one_hot encode

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 38 stars here means stars gained during the window, not the repo's star count.