A collection of implementations for deep domain adaptation algorithms, including single-source (SUDA) and multi-source (MUDA) unsupervised domain adaptation methods. The library provides reimplementations of classic papers such as DAN, Deep CORAL, Revgrad, and DSAN, with benchmark results on datasets like Office-31. It includes survey references and application examples in fraud detection and recommendation systems.