This repository is a set of Jupyter Notebook and Python script tutorials for learning PyTorch from scratch. It covers basic operations such as tensors, Variables, and activations, then progresses to building simple feedforward networks for regression and classification. Advanced topics include convolutional networks (CNN), recurrent networks (RNN), autoencoders, deep Q-networks (DQN), A3C reinforcement learning, and generative adversarial networks (GAN) including conditional variants.