JIMMY-KSU's repositories
numerical-mooc
A collaborative educational initiative in computational science and engineering.
Sensitivity_Morris
Sensitivity analysis with the Morris screening method (python)
336K
Lecture Notes for Upper Division Undergraduate Newtonian Dynamics Course
chtMultiRegionSimpleFoam-example
chtMultiRegionSimpleFoam example with applied flux and solid sub cycles
cookie-python
A framework for teaching kids to program using iPython's Notebook feature
datasci_course_materials
Public repository for course materials for the Spring 2013 session of Introduction to Data Science, an online coursera course.
image-classification-dbn
Image classification using a Deep Belief Network with multiple layers of Restricted Boltzmann Machines
IMM_EnKF_Traffic_Estimation_Incident_Detection
This repository contains supporting codes for the paper “Interactive multiple model ensemble Kalman filter for traffic estimation and incident detection.”. Please see readme for more details on how to run the codes.
MCHE485-Spring2014
Code used during the Spring 2014 semester of MCHE485: Mechanical Vibrations at UL Lafayette.
numerical
Numerical Models for the time-dependent Heat and Stokes' Equations
pde
Partial differential equation solver
PHY3110
Advanced Classical Mechanics at High Point University. Classical Mechanics is an advanced study of Newtonian mechanics applied to particles and systems of particles. Topics include central force motion, oscillators and coupled oscillators, rotating systems and rigid bodies, calculus of variations, and the Lagrangian and Hamiltonian formulations of mechanics.
py-mcmc
A simple MCMC framework for training Gaussian processes adding functionality to GPy.
PyMOGEP
python multi-objective gene expression programming
pyrom
pyrom is a Python library for extracting metadata from ROM images.
Python-for-Signal-Processing
Notebooks for "Python for Signal Processing" book
scipy-2013-swigfiles
Required files for SciPy India 2013 Swig Tutorial
sparsegridlayout
A kivy layout for placing widgets in a grid without having to fill all the grid entries.
Stanford-Machine-Learning-Course
machine learning course programming exercise