Salad: A Toolbox for Semi-supervised Adaptive Learning Across Domains


We introduce salad, an open source toolbox that provides a unified implementation of state-of-the-art methods for transfer learning, semi-supervised learning and domain adaptation. In the first release, we provide a framework for reproducing, extending and combining research results of the past years, including model architectures, loss functions and training algorithms. The toolbox along with first benchmark results and further resources is accessible at

NIPS 2018 Workshop on Machine Learning Open Source Software