abhijithjadhav / Deepfake_detection_using_deep_learning

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.

Date Created 2020-09-12 (4 years ago)

Commits 86 (last one 9 months ago)

Stargazers 662 (3 this week)

Watchers 10 (0 this week)

Forks 193

License gpl-3.0

Ranking

RepositoryStats indexes 638,211 repositories, of these abhijithjadhav/Deepfake_detection_using_deep_learning is ranked #77,153 (88th percentile) for total stargazers, and #201,531 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #1,666/19,305.

abhijithjadhav/Deepfake_detection_using_deep_learning is also tagged with popular topics, for these it's ranked: deep-learning (#1,785/8850)

Other Information

abhijithjadhav/Deepfake_detection_using_deep_learning has 1 open pull request on Github, 5 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 18 open issues and 20 closed issues.

All Topics

deepfakes deep-learning deepfake-detection deepfake-detection-challenge

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43 commits on the default branch (master) since jan '22

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The primary language is Jupyter Notebook but there's also others...

updated: 2025-04-13 @ 10:31am, id: 294908710 / R_kgDOEZPzJg