T Zhou's repositories
AdaptiveMIVor
MIVor: An innovative adaptive Kriging approach for efficient problem classification.
deep-uq-paper
A repository that contains scripts to replicate results in the Deep UQ paper.
Active-Expansion-Sampling
Experiment code associated with our paper: "Active Expansion Sampling for Learning Feasible Domains in an Unbounded Input Space"
Autoencoders-Variants
Pytorch implementations of various types of autoencoders
Call_ANSYS_in_MATLAB
The is the MATLAB code for calling ANSYS in MATLAB
CLoVER
Contour Location Via Entropy Reduction (NeurIPS 2018)
cs230-code-examples
Code examples in pyTorch and Tensorflow for CS230
design_under_uncertainity
Designing a cantilevered beam under uncertainity using direct Monte Carlo simulation, FORM using HL-RF, and First Order Expansion
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
H_Kriging
matlab code achieving Hierarchical Kriging model (a kind of variable fidelity surrogate, which can be regard as an improved version of co-Kriging)
LSE
Super Level Set Estimation Algorithms Implementation, Including LSE, TRUVAR, RMILE and some Improved Version. Project for 2019 Stochastic Process Course.
machine-learning
Machine Learning for the Social Scientist
multi-fi-optimization
Multifidelity Kriging, Efficient Global Optimization
neural-network-from-scratch
A Neural Network implemented from scratch (using only numpy) in Python.
NeuralNetworks_for_MNIST
Several classical neural networks trained on MNIST in Pytorch, including multi-perceptron and LeNet.
NSFC_conclusion_downloader
A tool to Download PDF format conclusion from http://output.nsfc.gov.cn/
nusa
A Python library for structural analysis using the finite element method
OpenSeesAPI
Python OpenSees Wrapper
pyKriging
Welcome to the User Friendly Python Kriging Toolbox!
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
PyTorch-Tutorial-1
Build your neural network easy and fast
pytorch-tutorials-examples-and-books
PyTorch1.x tutorials, examples and some books I found 【不定期更新中】整理的PyTorch 1.x 最新版教程、例子和书籍
Pytorch-Utils
Useful functions to work with PyTorch. At the moment, there is a function to work with cross validation and kernels visualization.
pytorch_active_learning
PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book
ssdkl
Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
TrussAnalysis_FEM
2D/3D Truss Analysis - Matlab Code