Verified project record

jindongwang/transferlearning

A comprehensive, categorized collection of transfer learning resources covering papers, tutorials, reusable codebases, datasets, and applications. It consolidates scattered materials into a single continuously updated repository to help researchers and practitioners discover transfer learning, domain adaptation, and domain generalization content.

Project overview

Few resources span the full breadth of transfer learning from literature and tutorials to runnable code and benchmarks in one organized place. This repository's unified scope across papers, codebases, datasets, and educational materials makes it a practical starting point for anyone working in this rapidly evolving area.

Project type: Model Development · Data Processing · Infrastructure
Deployment: Refer to project documentation
License: MIT

Best for

Researchers who need a continuously updated, topic-organized reference for transfer learning, domain adaptation, and domain generalization literature.
Practitioners and students who want reusable codebases and educational materials in a single repository.
Educators looking for curated tutorials, slides, and video resources to support teaching transfer learning.

Key capabilities

A curated and continuously updated list of transfer learning papers organized by topic and date.
Provides unified codebases for deep domain adaptation (DeepDA) and deep domain generalization (DeepDG), along with other tutorial code.
A collection of educational resources for learning transfer learning, including books, blogs, video tutorials, and slides.
Provides popular transfer learning datasets and benchmark results from published articles.

Limitations and risks

The list of transfer learning scholars included in the repository is noted as far from complete, so it should not be treated as an exhaustive directory.

Getting started

Open the code in GitHub Codespaces on the web to run it without downloading. Overall setup difficulty depends on the specific codebase used.

Evidence and sources

GitHub project description: Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
README: Everything about Transfer Learning. 迁移学习.
README: Awesome transfer learning papers (迁移学习文章汇总)
README: Want to quickly learn transfer learning？想尽快入门迁移学习？看下面的教程。
README: Here are some articles on transfer learning theory and survey.

Reviewed at: 2026-07-17T22:58:15Z