easezyc/deep-transfer-learning
PyTorch library implementing deep domain adaptation and transfer learning algorithms.
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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.
Frequently asked
- What is easezyc/deep-transfer-learning?
- PyTorch library implementing deep domain adaptation and transfer learning algorithms.
- Is deep-transfer-learning open source?
- Yes — easezyc/deep-transfer-learning is open source, released under the MIT license.
- What language is deep-transfer-learning written in?
- easezyc/deep-transfer-learning is primarily written in Python.
- How popular is deep-transfer-learning?
- easezyc/deep-transfer-learning has 961 stars on GitHub.
- Where can I find deep-transfer-learning?
- easezyc/deep-transfer-learning is on GitHub at https://github.com/easezyc/deep-transfer-learning.