DL-Hub is a structured learning project teaching deep learning from scratch using PyTorch. It provides 339 lessons across 8 learning tracks covering topics including large language models (LLMs), computer vision, natural language processing, federated learning, and 31 ML algorithms. The repository maintains a unified code style and training scaffold, including a model zoo with 8000+ architectures and numpy implementations of classic ML methods.