/Deepfakes-in-the-Wild

Primary LanguageJupyter NotebookMIT LicenseMIT

Deepfakes-in-the-Wild

This repository contains all the codes in the form of python notebooks used for my FYP research during my final year in NTU. The title of my report is 'Comparing the Effectiveness of Adversarial Augmentation Techniques on Deepfakes'.

The link to the drive folder containing all the datasets and models used in this research is provided as follows: https://drive.google.com/drive/folders/1qPqUcY5Q4Y9G90LjfNPdvzTy_zrsOGQz?usp=sharing