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DFM (Deep Feature Modeling) is an efficient and principled method for out-of-distribution detection, novelty and anomaly detection.

active 2023-08-232025-01-05 (UTC)

Complete coverage26,390 / 26,390 hourly files (100%) · 2 absent upstream2023-08-152026-08-18 (UTC)
Events
22
Pushes
10
Pull requests
2
Issues
0
Stars
5
Forks
3

Activity over time

Daily event counts in the loaded window

Line chart, 502 days from 2023-08-23 to 2025-01-05. Pushes: 10 total, peak 3 in a day. Pull requests: 2 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 5 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
ugenc-intel8610
nahuja-intel3210
michaelbeale-IL1100
sfblackl-intel1100

Recent activity

Latest issues, pull requests and releases

  • Pull request#1ugenc-intel2023-11-17 07:07
  • Pull request#1nahuja-intel2023-11-17 05:47

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 5 stars here means stars gained during the window, not the repo's star count.