JIMMY-KSU's repositories
IMDB-LSTM-Tutorial
In this tutorial I use an LSTM and Keras/Theano to predict sentiment on the IMDB dataset.
swig-tutorial
Basic tutorials for SWIG.
Data-Science
My notes pertaining to python programming, data analysis and visualization
statmech
Spring 2016 - Statistical Mechanics: Algorithms and Computations
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
blind_deconvolution
Blind deconvolution using the idea from "Blind Deconvolution using Convex Programming", from Ali Ahmed, Benjamin Recht, and Justin Romberg
DataScience16
This is the base repo for the Spring 2016 offering of "Data Science" at Olin College.
kruschke
Notebooks in support of Kruschke's Doing Bayesian Analysis
ThinkBayes
Jupyter Notebooks derived from Allen Downey's book Think Bayes.
statistical-rethinking
Notebooks containing R code from Richard McElreath's Statistical Rethinking
DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
regressions
A Python package that implements various regression algorithms, including Partial Least Squares and Principal Components Regression
tutorials
tutorials that may or may not turn into a book
UKF-exposed
A Jupyter-notebook based article investigating (useful parameter settings for) the Unscented Kalman Filter (UKF).
sparse_dmd
sparse dynamic mode decomposition in python
LSTM---Stock-prediction
A long term short term memory recurrent neural network to predict stock data time series
ComputationalPhysics
A survey of computational physics problems in Python. Includes quantum mechanics, electrostatics, ODEs, PDEs, Monte Carlo, Fourier analysis, molecular modeling, cluster growth, genetic algorithm, dynamical systems and other fun stuff.
rnn-tutorial-gru-lstm
Language Model GRU with Python and Theano
Mastering-Scipy
ipython notebooks for the book "Mastering Scipy"
py-orthpol
Construct orhogonal polynomials using Python
sublime-copy-code-snippet
Sublime Text plugin for copying code snippets
Heat-Conduction-OpenFOAM
Using the scalarTransportFoam solver to solve simple conduction problems.
uq_chapter
Uncertainty quantification book chapter
pymc
PyMC: Bayesian Stochastic Modelling in Python
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Metamodeling
Housing some of my metamodeling codes. Contains RBFANN codes and Stochastic Collocation codes in Matlab.
pydym
Dynamic mode decomposition in Python
MCMC
MCMC tutorial for the Local Group Astrostatistics workshop
Statistics-Notes
iPython NOtebooks on Stats
siam-latex
Modernization of the SIAM LaTeX classes.