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Implementation of a Variational Autoencoder model in Pytorch

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Generative Models

This repository contains implementations and tutorials for various generative and self-supervised learning (SSL) models. Each model is organized in its own subdirectory, and includes code, tutorials, and documentation.

Models Included

  1. VAE (Variational Autoencoder)

    • A probabilistic model for unsupervised learning of latent representations.
    • Details and Code
  2. SSL (Self-Supervised Learning) - SimSiam

    • A self-supervised learning model for learning representations without the need for negative pairs.
    • Details and Code
  3. Diffusion Models (Coming Soon)

    • Advanced generative models that learn to denoise data in iterative steps.
    • Placeholder for future implementations.

Getting Started

  1. Clone the repository:
    git clone https://github.com/ghazalehran/GenerativeModels.git
    cd GenerativeModels

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Implementation of a Variational Autoencoder model in Pytorch

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