This repository provides a simple GAN implementation in PyTorch, demonstrating the adversarial training process where a generator and discriminator network compete. The code trains on a synthetic shifted/scaled Gaussian distribution, illustrating how the generator learns to match the real data distribution. It serves as an educational example accompanying a blog post tutorial.