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michail811/Image-Classification-and-Anomaly-Detection-Using-Different-Autoencoder-Models

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This project utilizes TensorFlow and Keras to implement image classification using the VGG16 transfer learning model and autoencoders for anomaly detection.

active 2024-02-06 → 2025-02-06 (UTC)

Complete coverage28,137 / 28,137 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-30 (UTC)
Events
13
Pushes
10
Pull requests
0
Issues
0
Stars
1
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 367 days from 2024-02-06 to 2025-02-06. Pushes: 10 total, peak 10 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 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
michail811101000

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.