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abhijithjadhav/Deepfake_detection_using_deep_learning

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This projects aims in detection of video deepfakes using deep learning techniques like RestNext and LSTM. We have achived deepfake detection by using transfer learning where the pretrained RestNext CNN is used to obtain a feature vector, further the LSTM layer is trained using the features. For more details follow the documentaion.

active 2025-03-08 → 2026-06-13 (UTC)

Complete coverage27,913 / 27,913 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-21 (UTC)
Events
196
Pushes
0
Pull requests
2
Issues
2
Stars
142
Forks
48

Activity over time

Daily event counts in the loaded window

Line chart, 463 days from 2025-03-08 to 2026-06-13. Pushes: 0 total, peak 0 in a day. Pull requests: 2 total, peak 1 in a day. Issues: 2 total, peak 1 in a day. Comments: 2 total, peak 1 in a day. Stars: 142 total, peak 3 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

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

ContributorContributionsPushesPRsComments
GodIceman1000
kankam011010
AryanMithbawkar1001
Sourav12kumar1010
Nardin-Algarguri1000
papapizzachess1001

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 142 stars here means stars gained during the window, not the repo's star count.