This is an assorted collection of machine learning code I've written in Python/numpy. The bulk of it is code for training restricted Boltzmann machines (RBM). It includes examples of training a GRBM on image patches and stacking RBMs to form a deep belief net (DBN).

I don't expect this to be particularly useful to anyone but me, although it's not optimized for performance so you might find some of it quite readable.

You'll find my email on my GitHub profile if you want to get in touch.