As a software architect and developer, I like to create elegant and concise solutions for complex problems, and I'm especially interested how to apply AI there.
This project is a playground for me to explore implementations of machine learning techniques. In addition to basic stuff such as automatic differentiation it contains the CGP evolutionary learn algorithm, several implementations of simple backpropagation neural networks, and a partial implementation of running such calculations on the GPU with AparAPI.
This contains an explorational implementation of learning in neural networks, as well as some simple helper classes (automatic differentation, statistics, timing). It covers the RProp algoritm and an experiment to extend the gradient descent idea with using the second derivation to automatically select a good step width.
Android application for reading comic strips over internet
Very basic template that gets you started quickly when using Scala with the Google Appengine - no web frameworks etc.