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mullai1606/Deepfake_Video-detection

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involves implementing pre-trained models(MobileNetV2, XceptionNet ) in deep learning to determine the authenticity of a targeted video content. Its primary objective is to distinguish between real and fake videos. Programing language used - python Technology/Algorithm used - MobileNetV2 and XceptionNet

active 2024-05-28 → 2024-11-15 (UTC)

Complete coverage27,204 / 27,206 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-21 (UTC)
Events
22
Pushes
11
Pull requests
3
Issues
0
Stars
4
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 172 days from 2024-05-28 to 2024-11-15. Pushes: 11 total, peak 6 in a day. Pull requests: 3 total, peak 3 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 4 total, peak 2 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
mullai1606141130

Recent activity

Latest issues, pull requests and releases

  • Pull request#2mullai16062024-10-17 11:44
  • Pull request#1mullai16062024-10-17 11:43
  • Pull request#1mullai16062024-10-17 11:42

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 4 stars here means stars gained during the window, not the repo's star count.