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/Active_learning_regional_risk_assessment
Regional Seismic Risk Assessment of Infrastructure Systems through Machine Learning: An Active Learning Approach
tongcezhou/BatchBALD
Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
tongcezhou/bayesian-KPLS
A Bayesian approach of the KPLS (Kriging using Partial Least Squares) method
tongcezhou/bes-mp
tongcezhou/deepGP
Deep Gaussian Processes in matlab
tongcezhou/direpack
A Python 3 package for state-of-the-art statistical dimension reduction methods
tongcezhou/DPIM
MATLAB scripts for DPIM
tongcezhou/ece671-jupyter
tongcezhou/ERD2
Earthquake Responses prediction using Deep learning and Database
tongcezhou/Expected-Uncertainty-Reduction-for-Kriging-based-Reliability-Analysis
In his project, we proposed a new acquisition function for kriging-based reliability analysis, namely expected uncertainty reduction (EUR), that serves as a meta-criterion to select the best sample from a set of optimal samples, each identified from a large number of candidate samples according to the criterion of an acquisition function.
tongcezhou/FEM_Toolbox
A general FEM toolbox to analyze planar (2D) and 3D structures, including trusses, beams, frames, plane stress/strain, and 3D solid structures. The package including a graphical user interface (GUI) and visulization tools to fascilitate modeling and analyzing process. This toolbox can also be employed for educational purposes.
tongcezhou/First-Order-Reliability-methods-MATLAB
tongcezhou/GPflow
Gaussian processes in TensorFlow
tongcezhou/HighdimLSE
This repository contains the code for the method ExpHLSE and ImpHLSE proposed in the paper 'High Dimensional Level Set Estimation with Bayesian Neural Network', AAAI'2021, Ha et al. These are the two methods that solve the high-dimensional Level Set Estimation (LSE) problem via Bayesian Neural Network (BNN).
tongcezhou/KADAL
Kriging for Analysis, Design optimization, And expLoration (KADAL)
tongcezhou/OpenSees-Examples
Some examples of learning OpenSees, by Prof. Quan Gu, Xiamen University
tongcezhou/openseespy-pip
Pip Package for OpenSeesPy
tongcezhou/OpenSeesPyTutorials
Tutorials for learning OpenSeesPy
tongcezhou/paper_sequential-design-model-selection
Source code for the numerical experiments in my research paper "Sequential Design of Computer Experiments for the Computation of Bayesian Model Evidence"
tongcezhou/pyre
Structural Reliability Analysis with Python
tongcezhou/pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
tongcezhou/PyTorch-Learning-Rate-Scheduler
torch.optim.lr_scheduler
tongcezhou/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
tongcezhou/StateOfTheArtAdaptiveSampling
tongcezhou/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
tongcezhou/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
tongcezhou/TRA
time-variant reliability analysis method
tongcezhou/uncertainpy
Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
tongcezhou/UQpy
tongcezhou/WhatsOpt-Doc
WhatsOpt documentation, tutorial and examples