T Zhou's repositories
Codes-of-TEAD
This is the codes and examples described in "Mo, S., Lu, D., Shi, X., Zhang, G., Ye, M., Wu, J., & Wu, J. (2017). A Taylor expansion‐based adaptive design strategy for global surrogate modeling with applications in groundwater modeling. Water Resources Research, 53, 10,802–10,823. https://doi.org/10.1002/2017WR021622"
domain_expansion_jmd_2017
Experiment code associated with our JMD paper: "Beyond the Known: Detecting Novel Feasible Domains over an Unbounded Design Space"
GPmat
Matlab implementations of Gaussian processes and other machine learning tools.
kpls
Kernel Partial Least Squares
MATSuMoTo
MATLAB Surrogate Model Toolbox
opensees-model-view
Some Python code that reads your opensees model's tcl files and shows you what it looks like
PolyU_beamer_theme
An Unofficial Beamer Theme For PolyU and COMP
pytorch-autoencoders
Implementation of autoencoders in PyTorch
pytorch-lr-explorer
A Jupyter notebook exploring sophisticated learning rate strategies for training deep neural networks
SBDOT
Surrogate Based Design Optimization Toolbox
svm
MATLAB SVM toolbox written by Anton Schwaighofer