This repository provides PyTorch re-implementations of multiple GAN variants including standard GAN, LSGAN, WGAN, WGAN-GP, DRAGAN, CGAN, InfoGAN, and ACGAN. It serves as a reference implementation portfolio comparing different GAN training approaches and loss functions. The code supports CPU and GPU execution modes.