Playing With GANs

This repo contains my implementations of various Generative Adversarial Network (GAN) models using TensorFlow and PyTorch.

• Conditional GAN (CGAN) implementation in PyTorch on Fashion-MNIST dataset

• Conditional GAN (CGAN) implementation in TensorFlow on Fashion-MNIST datasetn

• Coupled GAN (CoGAN) implementation in PyTorch on CelebA dataset

• Deep Convolutional GAN (DCGAN) implementation in PyTorch on cats dataset

• Deep Convolutional GAN (DCGAN) implementation in TensorFlow on MNIST dataset

• Super Resolution GAN (SRGAN) implementation in PyTorch

• Deep Convolutional GAN (DCGAN) implementation in PyTorch on Pokémon dataset