This is a centralized repository for all of the machine learning examples I've implemented. Not everything I've done is here, but I'm attempting to make this repository as clean as possible.
Each directory contains an algorithm that only depends on other code or data present in this repository. Most of the code is written in Python and MATLAB, and specific dependencies for each project are noted. Each example will have an associated blog post on my personal website (http://briandolhansky.com/).
The following items will be added to this repository (with associated blog posts) in the future:
Regression
Logistic Regression
Decision Trees
Determinantal Point Processes
Neural Networks
Hidden Markov Models
Conditional Random Fields
Submodular Optimization
Algorithms and Techniques
This is by no means a complete list, and more may be added in the future.
Brian Dolhansky bdol@uw.edu