tongcezhou Goto Github PK

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"

active_learning_regional_risk_assessment

Regional Seismic Risk Assessment of Infrastructure Systems through Machine Learning: An Active Learning Approach

adaptivemivor

MIVor: An innovative adaptive Kriging approach for efficient problem classification.

an-expected-uncertainty-reduction-of-reliability-adaptive-sampling-convergence-criterion-for-krigin

autoencoders-variants

Pytorch implementations of various types of autoencoders

batchbald

Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

batchbald_redux

Reusable BatchBALD implementation

bayesian-experimental-design-coupling-with-multi-fidelity-gaussian-processes

Bayesian Experimental Design Coupling with Multi-fidelity Gaussian Processes (co-kriging) for Estimation of Hydraulic Conductivity in a Watershed

bayesian-kpls

A Bayesian approach of the KPLS (Kriging using Partial Least Squares) method

beamer-latex-themes

Customized beamer templates based on SINTEF Presentation template

bernoulli_lse

Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation

bes-mp

bsc_rlcb

The code is used to solve structural reliability analysis problem via the BSC_RLCB method

call_ansys_in_matlab

The is the MATLAB code for calling ANSYS in MATLAB

clover

Contour Location Via Entropy Reduction (NeurIPS 2018)

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"

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

dcekit

DCEKit (Data Chemical Engineering toolKit)

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.

deepgp

Deep Gaussian Processes in matlab

deeponet-reliability

design_under_uncertainity

Designing a cantilevered beam under uncertainity using direct Monte Carlo simulation, FORM using HL-RF, and First Order Expansion

digital-twin-shm

direpack

A Python 3 package for state-of-the-art statistical dimension reduction methods

domain_expansion_jmd_2017

Experiment code associated with our JMD paper: "Beyond the Known: Detecting Novel Feasible Domains over an Unbounded Design Space"

dopt_pce

Codes related to our paper "Sparse Polynomial Chaos Expansions via D-optimal Designs and Compressed Sensing." https://www.sciencedirect.com/science/article/pii/S0045782518301452?via%3Dihub

dpim

MATLAB scripts for DPIM

easysurrogate

The VECMA toolkit for creating surrogate models of multiscale systems.