GAN

This project involves building and training two GANs using PyTorch: one for the CIFAR-10 dataset and one for the Fashion-MNIST dataset.

• GANs for CIFAR-10 and Fashion-MNIST: Implemented from scratch, trained to generate realistic-looking images.
• Generator and Discriminator Models: Compete in a zero-sum game to create and evaluate images.
• Notebooks Included: gan_cifar_10.ipynb and gan_fashion_mnist.ipynb for training and generating images.

Built using Python, PyTorch, and Jupyter Notebooks for hands-on experimentation.

For more details, features, and how to use it, explore the full project on GitHub: https://github.com/Adnaneessalmi/GAN.