This repository aggregates learning materials for machine learning and deep learning, including Andrew Ng’s Coursera machine learning course notes, Stanford CS229 materials, Chinese translations of ML textbooks, and implementations using popular frameworks like PyTorch, TensorFlow, and MXNet. It covers topics ranging from mathematical foundations to neural network architectures such as CNN, GAN, and GCN.