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avkaz/DeepLearningPetIdentification

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Deep learning project focused on fine-tuning pretrained models to extract embeddings for unique pet identification. It enables efficient image-based matching to determine whether a new pet image corresponds to an existing pet in a database.

active 2024-12-20 → 2025-01-26 (UTC)

Complete coverage27,692 / 27,692 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-11 (UTC)
Events
162
Pushes
80
Pull requests
21
Issues
18
Stars
0
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 38 days from 2024-12-20 to 2025-01-26. Pushes: 80 total, peak 20 in a day. Pull requests: 21 total, peak 6 in a day. Issues: 18 total, peak 8 in a day. Comments: 8 total, peak 4 in a day. Stars: 0 total, peak 0 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
avkaz8751176
heghiw201321
trad0415711
mariacuj155410
step09VSE3300
mrtomis2200

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.