jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
This project helps machine learning practitioners efficiently build new models when they have limited data by leveraging knowledge from existing models or related datasets. It provides a curated collection of research papers, code examples, datasets, and tutorials on transfer learning, domain adaptation, and domain generalization. Data scientists, ML engineers, and researchers can use this resource to accelerate model development across various applications.
14,292 stars. No commits in the last 6 months.
Use this if you need to build a new machine learning model but lack sufficient training data, and you suspect that a model trained on a similar but different dataset could provide a useful starting point.
Not ideal if you are looking for a plug-and-play software library for a specific task without needing to understand the underlying machine learning concepts or explore research.
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Python
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MIT
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Last pushed
Feb 18, 2025
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