JIMMY-KSU's repositories
koopman
Koopman Mode Decomposition
Jupyter_Data_Analysis
Data Analysis in Jupyter Notebooks - Practice and Examples
dmdtools
A library of tools for computing variants of Dynamic Mode Decomposition
Neural-Networks-Demystified
Supporting code for short YouTube series Neural Networks Demystified.
Basic_ML
A work in progress towards stacking all the data science, data management and machine learning training materials [in russian].
GPmat
Matlab implementations of Gaussian processes and other machine learning tools.
DeepLearnToolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
Interviewing
Interviewing questions I have received over the past year
sparsegrid
Smolyak sparse grid interpolation sandbox
Python-XML-Tutorial
A tutorial for people who want to learn how to start using Python to read and write XML.
CarND-Unscented-Kalman-Filter-Project-master
2nd Project for Self Driving Car ND Term 2 - UKF
PDE-1
Numerical methods for solving partial differential equations
zero_to_deep_learning_udemy
Repository for the Zero to Deep Learning™ Video Course on Udemy
as-data-sets
Active Subspace Data Sets
evolutionary-computation-course
Jupyter/IPython notebooks about evolutionary computation.
PlotQCircuit
Visualize quantum circuits with matplotlib
dmdd
A python package that enables simple simulation and Bayesian posterior analysis of nuclear-recoil data from dark matter direct detection experiments for a wide variety of theories of dark matter-nucleon interactions.
scikit-neuralnetwork
Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.
facialEmotionRecognition
Facial emotion recognition under noisy environment using Emperical Mode Decomposition and SVM
PythonSphero
Examples of programming Sphero using Python client
ulearn
Udacity Intro Machine Learning Course Exercises. Pretty basic
Multilabel-timeseries-classification-with-LSTM
Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.
py-optDMD
Python implementation of optimal DMD
coursera-stanford
Stanford
IntroCompPhysics
An introductory course on computational physics taught at the University of Vermont
spaceypy
Orbital Dynamics and Mission Design
Keras-Tutorials
Simple tutorials using Keras Framework
lstm-tensorflow
Implementation of Long Short Term Memory networks in Tensorflow
Streaming-DMD
Python class for the DMD of streaming data sets.