Transfer Learning paper, codes and dataset

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Searching for transfer leanring code is time-consuming and requires efforts. I collected some of the basic resources that is commonly used by transfer learning community.

Compute Distance Metrics

Below is the link for various distance metric computation code.

DescriptionCode Links
A2 Distancepython
MMD and MK-MMD [Python] [Pytorch] [Matlab]
Wasserstein distance [earch mover distance] Wasserstein

Traditional Transfer Learning Source Code

Here is the traditional transfer learning source code links are provided for reference start point.

DescriptionCode Links
TCA [Transfer Component Anaysis, TNN-11]Python
JDA [Joint Distribution Adaptation, ICCV-13] Python, Matlab