Pinned Repositories
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Active-Expansion-Sampling
Experiment code associated with our paper: "Active Expansion Sampling for Learning Feasible Domains in an Unbounded Input Space"
AdaptiveMIVor
MIVor: An innovative adaptive Kriging approach for efficient problem classification.
Decision-Making-Under-Uncertainty
Decision making under uncertainty using the POMDPs.jl ecosystem taught by Robert Moss
deep-uq-paper
A repository that contains scripts to replicate results in the Deep UQ paper.
Efficient_Global_Optimization_Algorithms
standard, parallel, constrained, and multiobjective EGO algorithms
PCE_NARX
RALAB
The source codes of RALAB
tongcezhou's Repositories
tongcezhou/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"
tongcezhou/domain_expansion_jmd_2017
Experiment code associated with our JMD paper: "Beyond the Known: Detecting Novel Feasible Domains over an Unbounded Design Space"
tongcezhou/GPmat
Matlab implementations of Gaussian processes and other machine learning tools.
tongcezhou/kpls
Kernel Partial Least Squares
tongcezhou/MATSuMoTo
MATLAB Surrogate Model Toolbox
tongcezhou/opensees-model-view
Some Python code that reads your opensees model's tcl files and shows you what it looks like
tongcezhou/PolyU_beamer_theme
An Unofficial Beamer Theme For PolyU and COMP
tongcezhou/pytorch-autoencoders
Implementation of autoencoders in PyTorch
tongcezhou/pytorch-lr-explorer
A Jupyter notebook exploring sophisticated learning rate strategies for training deep neural networks
tongcezhou/SBDOT
Surrogate Based Design Optimization Toolbox
tongcezhou/svm
MATLAB SVM toolbox written by Anton Schwaighofer