Name: Domain Adaptation & Transfer Learning Repositories
Type: Organization
Bio: Towards accessible and reproducible research in Domain Adaptation, Semi-Supervised Learning and Transfer Learning
Location: Tübingen, Germany
Blog: domainadaptation.org
Domain Adaptation & Transfer Learning Repositories's Projects
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
See https://github.com/bethgelab/robustness for the source code release.
Datasets for Domain Adaptation
Domain Adaptation Webpage
Generalized Invariant Risk Minimization
Robustness & Adaptation
Corruption and Perturbation Robustness (ICLR 2019)
A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.
See https://github.com/bethgelab/robustness for the source code release.
Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)
Implementation of many transfer learning algorithms in Python with Jupyter notebooks