JIMMY-KSU

Juypter-Notebooks

Data Science! Machine Learning!

TensorFlow-Tutorials

Simple tutorials using Google's TensorFlow Framework

PyTorch-Tutorial

Build your neural network easy and fast, 莫烦Python中文教学

ritchieng.github.io

My personal repository of notes served through Github pages at http://www.ritchieng.com/

Dynamics-and-Control

Jupyter notebooks for Dynamics and Control

OMD

A Matlab package for computing the optimal mode decomposition (OMD) or dynamic mode decomposition (DMD).

scikit-learn

scikit-learn: machine learning in Python

koopman

Koopman Mode Decomposition

ipython-notebooks

A collection of IPython notebooks covering various topics.

UQpy

UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.

uq-course

Introduction to Uncertainty Quantification

UW_Seattle_1

applied_reactor_physics

Applied Reactor Physics

uq-course

Introduction to Uncertainty Quantification

DMDbookJupyter

Jupyter Notebook Equivalents of the Matlab Code associated with the DMD book (Kutz, Brunton, Brunton, Proctor)

Nek5000

our classic

Matlab-RBF-Toolbox

MATSuMoTo

MATLAB Surrogate Model Toolbox

MO_TestFunction_Lee2017a

A Multiobjective Optimization Test Function used in the conference paper: Lee Y.H., Corman, R.E., Ewoldt, R.H., and Allison, J.T., "A Multiobjective Adaptive Surrogate Modeling Optimization (MO-ASMO) Framework Using Efficient Sampling Strategies," ASME IDETC/CIE, 2017.

bayesiandmd

Bayesian Dynamic Mode Decomposition (Bayesian DMD)

HORD

Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates

pyradbas

Simple radial basis function networks for python

rbfnnpy

Radial Basis Function Neural Network implementation for Python