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A comprehensive repository covering papers, codes, datasets, tutorials, and applications for transfer learning, domain adaptation, and more.
A curated list of resources related to domain adaptation, a technique used to improve AI model performance on new datasets.
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
Python library for optimal transport and related problems, useful for machine learning tasks.
A tutorial on transfer learning, a fundamental technique in machine learning and AI.
A curated list of resources for transfer learning and domain adaptation research and applications.
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
Research paper on domain adaptation and semantic-consistent transfer learning for computer vision.
A collection of awesome test-time (domain/batch/instance) adaptation methods for machine learning models.
A PyTorch implementation of StyleGAN for domain adaptation, using pre-trained models to generate new images.
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