This is a collection of school work that I have added after the classes in question have finished. It is really here as a resource for me to review and not neccessarily here as library code. Feel free to borrow or take anything that can help out:

This is the code for the compilers course. All of the code is in Java using jflex, cup, and jasmine.

This is a artifical intelligence class from my masters work. Most of the code is in python and follows a rough framework for the class.

This is a data mining class from my masters work. Most of the code has actually been moved to the https://github.com/bashwork/wdm/ repository (so others in my group could contribute). The code is in java and scala.

There is also a final project in the https://github.com/bashwork/twatter/ repository that is also in java and scala with some shell scripting to help.

This is a computer vision course from my masters work. Most of the code is in python and deals with face detection, pca, stereograms, adaboost, etc.

There is also another project I did in c# at: http://code.google.com/p/image-segment/

This is the code for human computer interaction. The https://github.com/bashwork/trip.me is the code for this class, however, it was moved to http://code.google.com/p/guide-me/ so others could work on the project and reserve more space for data files.

This is the code for real time systems (most of the code is soft real time in the academic sense). The https://github.com/bashwork/shell-service is the code for this class. There is also another repository for this project at http://code.google.com/p/shel-platform/ so others could work on the project and reserve more space for data files.

This is the code for the fair division game theory class. It is basically a framework for defining resources and preferences for those resources in a low level way. The remainder of the code builds high level primitives out of these and then builds high level algorithms for dividing resources. The code is in python.

This is the code and notes for the coursera machine learning class taught by Andrew Ng. The code is in octave

This is the code and notes for the coursera functional programming in Scala class taught by Martin Odersky. The code is obviously in Scala.

This is the code and notes for the coursera reactive programming in Scala class taught by Martin Odersky. The code is in Scala.

This is the code and notes for the coursera optimization class taught by __. The code is a mixture of python and c++.