kastnerkyle/hmmlearn
Hidden Markov Models in Python, with scikit-learn like API
Discovered public repositories for kastnerkyle in the GitHub catalog.
Hidden Markov Models in Python, with scikit-learn like API
A recurrent neural network library for sequence learning problems.
Themes for pelican
Public repository.
Repository for work on a quadcopter brain using hacked wifi SD cards
Deviation for the Devo F7
Random arduino sketches and scripts/etc. to set up the environment sans GUI
A bunch of plugins for the pelican blog engine.
Octopress default theme copied for pelican
Code for Kaggle Cifar10 competition http://www.kaggle.com/c/cifar-10
Code for Kaggle Dovs vs. Cats competition http://www.kaggle.com/c/dogs-vs-cats
Work directly tied to work on my master's thesis
Python bindings for RNNLIB
Twitter + Neural Network
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Code and slides for PyTexas 2013 talk, "Trends in Deep Learning"
Pelican blog for moving content off Blogspot
Github blog
Content presented at the 2013 SciPy conference
scikit-learn: machine learning in Python
Distributed Asynchronous Hyperparameter Optimization in Python
A Machine Learning library based on Theano
Slides and code for SciPy 2013 talk - "A Gentle Introduction To Machine Learning"
Coursera Homework backups
A Flask app template with integrated SQLAlchemy, authentication, and Bootstrap frontend
Code for personal audiospade webpage
Toy implementations of things which may (or may not) grow into something else
Configs for different programs
A DSP Application Framework
Papers written for school, work, and other purposes.
Examples of code that I find useful
Public repository.