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3420-proj1

Optimization and Uncertainty Project 1

7135cem

Modelling and Optimization Under Uncertainty

a-polynomial-regression-machine-learning-approach-for-reliability-based-optimization

This is a compact code for reliability analysis under uncertainty using a Polynomial Regression Machine Learning approach. The code implements a stochastic response surface method (SRSM) which quantifies the uncertainty in a performance function for the purpose of reliability-based design optimization (RBDO).

aais

Matlab Code to Implement the Adaptive Annealed Importance Sampling (AAIS) Algorithm

abaqus-periodic-boundary

Generates RVE with periodic boundary conditions

adaptive_importance_sampling_power_grids

Adaptive importance sampling (exploiting mirror descent) is used for estimation of a probability of being out of polytope

agd

Automatic gradient descent

ak-mcs

My version of AK-MCS in Matlab, DACE toolbox is also provided but it is not mine.

amk-mcs-aeff

an active-learning method for reliability analysis based on multi-fidelity kriging model

applet_design

community_management

bayesiandeeplearning-survey

Bayesian Deep Learning: A Survey

bv-questionable

Repo for RBDO under statistical uncertainty

calibrateemulatesample.jl

Stochastic Optimization, Learning, Uncertainty and Sampling

cuqipy

custom_ferum

Customized FERUM (Finite Element Reliability Using Matlab)

deeplearningpython

neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support

easy-algorithm-interview-and-practice

euler

A distributed graph deep learning framework.

few-shot-gnn

gnn-applied-linear-algebra

Educational code repository for exploring the connection between Graph Neural Networks (GNNs) and Applied Linear Algebra

gnnpapers

Must-read papers on graph neural networks (GNN)

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hello-algo

《Hello 算法》：动画图解、一键运行的数据结构与算法教程，支持 Python, C++, Java, C#, Go, Swift, JS, TS, Dart, Rust, C, Zig 等语言。English edition ongoing

hgp_experiments

This repository presents the AK-MCS algorithm with a Hierarchical Gaussian Processes on some benchmark problems alongside baseline methods.

lcm

Laboratory for Computational Mechanics

learning_airfoils

Repository to reproduce the experiments in the paper "Deep learning observables in computational fluid dynamics"

lihang-code

《统计学习方法》的代码实现

lma

Levenberg-Marquardt C++ library

machine-learning

线性回归，逻辑回归，贝叶斯，决策树，随机森林，神经网络，聚类，kNN, SVM, *boost

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard