ADAPT : Awesome Domain Adaptation Python Toolbox
This provides a user-friendly toolbox for researchers and practitioners in machine learning to apply domain adaptation methods, but it is incremental as it packages existing methods without new algorithmic contributions.
The authors introduced ADAPT, an open-source Python library that implements main transfer learning and domain adaptation methods to facilitate access for a wide audience, with compatibility to scikit-learn and TensorFlow and extensive documentation.
In this paper, we introduce the ADAPT library, an open source Python API providing the implementation of the main transfer learning and domain adaptation methods. The library is designed with a user friendly approach to facilitate the access to domain adaptation for a wide public. ADAPT is compatible with scikit-learn and TensorFlow and a full documentation is proposed online https://adapt-python.github.io/adapt/ with a substantial gallery of examples.