This repository offers hands-on tutorial code for learning PyTorch, covering fundamental concepts like linear and logistic regression, intermediate topics including convolutional neural networks, residual networks, and recurrent networks, and advanced techniques such as generative adversarial networks. Each model is implemented with concise code, typically under 30 lines.