Jekyll2026-01-21T09:47:52-08:00https://ahafizk.github.io/feed.xmlMd Abdullah Al Hafiz Khanpersonal descriptionHafiz Khan, Ph.D.Transfer Learning paper, codes and dataset2020-05-23T00:00:00-07:002020-05-23T00:00:00-07:00https://ahafizk.github.io/posts/2020/05/transfer-learning-resourceSearching 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.

Description Code Links
A2 Distance python
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.

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