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Homelander98/DeepFakeDetectionModel

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DeepFakeDetection is a state-of-the-art deep learning model designed to detect deepfake videos by analyzing both video and audio features. The model leverages advanced techniques such as optical flow analysis, face detection, and audio feature extraction to identify manipulated content with high accuracy.

active 2025-03-03 → 2025-03-05 (UTC)

Complete coverage27,697 / 27,697 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-12 (UTC)
Events
3
Pushes
1
Pull requests
0
Issues
0
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Line chart, 3 days from 2025-03-03 to 2025-03-05. Pushes: 1 total, peak 1 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: 0 total, peak 0 in a day.

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Top contributors

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

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Homelander981100

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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.