PassGAN implements a Generative Adversarial Network architecture for password guessing, adapted from the Improved Training of Wasserstein GANs approach. The repository provides a command-line interface for training custom models on password datasets and sampling generated passwords from pretrained checkpoints. It includes a pretrained model trained on the RockYou dataset and supports training on additional leak datasets.