https://github.com/soran-ghaderi/generative-models-colabs

https://github.com/soran-ghaderi/generative-models-colabs

Last synced: 2 months ago
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• Host: GitHub
• URL: https://github.com/soran-ghaderi/generative-models-colabs
• Owner: soran-ghaderi
• License: mit
• Created: 2025-05-10T20:15:46.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2025-05-19T22:03:52.000Z (5 months ago)
• Last Synced: 2025-06-26T13:47:38.374Z (4 months ago)
• Language: Jupyter Notebook
• Size: 680 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Generative Models Notebooks

This repository provides hands-on tutorials and experiments to help you understand and implement different generative modeling techniques.

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## Notebooks Overview

The notebooks are organized by model type, and links to view the notebook on GitHub and open it directly in Google Colab.

### 1. Energy-Based Models (EBMs)

  

    

      Notebook Title

      Description

      Links

    

  

  

    

      Training an EBM with Contrastive Divergence

      This notebook provides a tutorial on training a simple EBM on a synthetic dataset using the torchebm library. It covers defining the energy function, using Langevin Dynamics for sampling, and applying Contrastive Divergence for training.

      

        

          

        

        


        

            

        

      

    

    

  

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I hope you find these notebooks useful!