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Sapienza University of Rome - Fundamentals of Data Science 2024/25/1 - Final Project

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muradhuseynov1/CIFAR10_vs_CIFAKE

 
 

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Project Overview

The main purpose of this project is to distinguish between AI-Generated and Authentic photos.
This GitHub repository is structured for presentation purposes and showcases six models that were trained and introduced in the accompanying report.


Repository Structure

  • checkpoints
    Contains saved model weights. Due to file size, some models are provided as google drive links.

  • graphics
    Includes visualizations and graphics for all the models.

  • metrics
    Stores the evaluation metrics for all the models.

  • data

    Folder where we loaded the data

  • models
    Contains the implementation of all the models.

  • utils
    Houses support functions such as:

    • Dataloaders for every model separately
    • Early stopping
    • Evaluation function
  • training.ipynb
    A Jupyter notebook with the training loop for one of the models.

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  • Jupyter Notebook 97.4%
  • Python 2.6%