If you prefer PyTorch over TensorFlow, stante/gans-in-action-pytorch offers idiomatic PyTorch versions of the book's examples, including DCGAN and CGAN.
For those who want to run code in the cloud without local setup, JungWoo-Chae's repo provides PyTorch implementations optimized for Google Colaboratory. Accessing the PDF gans in action pdf github
The most critical resource for the book is its Official GitHub Repository . This companion repo contains: If you prefer PyTorch over TensorFlow
Fully functional code for every chapter, from basic GANs to advanced models like CycleGAN. gans in action pdf github