Dassl is a modular PyTorch framework designed for research in domain adaptation, domain generalization, and semi-supervised learning. It provides unified interfaces and reusable components that allow researchers to prototype and experiment with new methods quickly. The engine folder contains implementations of existing methods, making it useful for computer vision research in transfer learning scenarios.