1 रिपॉजिटरी
Awesome GitHub RepositoriesDomain Discrepancy Visualizations
Visual tools used to render the difference between source and target feature distributions.
Distinct from Plotting and Visualization: Focuses specifically on visualizing the discrepancy between ML domains, not general data plotting.
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Awesome Domain Discrepancy Visualizations GitHub Repositories
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- thuml/transfer-learning-library
thuml/Transfer-Learning-Library
3,917GitHub पर देखेंThis project is a comprehensive library for transfer learning and domain adaptation in computer vision. It serves as a framework for aligning feature distributions between source and target datasets, a toolkit for domain generalization, and a library for semi-supervised learning using small labeled datasets and large unlabeled sets. The library provides specialized capabilities for unsupervised domain adaptation, including the use of adversarial networks, discrepancy-based architectures, and image-to-image translation to reduce distribution mismatch. It also includes tools for domain generali
Measures and visualizes the difference between source and target distributions using t-SNE plots.
Python
