KaiyangZhou/Dassl.pytorch
A PyTorch research toolbox for domain adaptation, domain generalization, and semi-supervised learning.
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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.
Frequently asked
- What is KaiyangZhou/Dassl.pytorch?
- A PyTorch research toolbox for domain adaptation, domain generalization, and semi-supervised learning.
- Is Dassl.pytorch open source?
- Yes — KaiyangZhou/Dassl.pytorch is open source, released under the MIT license.
- What language is Dassl.pytorch written in?
- KaiyangZhou/Dassl.pytorch is primarily written in Python.
- How popular is Dassl.pytorch?
- KaiyangZhou/Dassl.pytorch has 1.4k stars on GitHub.
- Where can I find Dassl.pytorch?
- KaiyangZhou/Dassl.pytorch is on GitHub at https://github.com/KaiyangZhou/Dassl.pytorch.