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
