Code & Data

Open sources accelerate advances

Jan 1, 0001

PyKale We develop the PyKale library in the PyTorch ecosystem to make machine learning more accessible to interdisciplinary research by bridging gaps between data, software, and end users.

The Matlab code of algorithms and related data from my earlier works.

  1. Remurs (Regularized Multilinear Regression and Selection): Remurs Version 1.0: code, data, and paper (2.85MB)
  2. UMLDA (Uncorrelated Multilinear Discriminant Analysis): UMLDA Version 1.1: code, data, and paper (19.73MB)
  3. RCSP (Regularized Common Spatial Pattern): RCSP Version 1.0: code and paper (2.19MB)
  4. UMPCA (Uncorrelated Multilinear Principal Component Analysis): UMPCA Version 1.0: code, data, and paper (7.87MB)
  5. MPCA (Multilinear Principal Component Analysis): MPCA Version 1.3 package: code, data, samples, and paper (5.18MB)
    Gait data: 128x88x20(21.2M); 64x44x20(9.9M); 32x22x10(3.2M)
  6. Binary Image Watermarking/Data Hiding: Binary Image Watermarking/Data Hiding: Data, Algorithms, and Distortion Measure (3.7MB)
Haiping Lu
Haiping Lu
Director of the UK Open Multimodal AI Network, Professor of Machine Learning, and Head of AI Research Engineering

I am a Professor of Machine Learning. I develop translational multimodal AI technologies for advancing healthcare and scientific discovery.