Python implementation of the Sparse Filtering code by Ngiam et al.
The main code depends on numpy and scipy's optimization toolkit. For
the demo you also need matplotlib/pylab for visualization and scipy.io.loadmat
for reading in the image data.
The image data is the same as the data used by Jiquan Ngiam et al., and can be downloaded from http://cs.stanford.edu/~jngiam/data/patches.mat.