Repository for reimplementations of Unsupervised Feature Learning and Deep Learning (UFLDL) in python.
Implementations of various fully connected neural network architectures and layers, including autoencoders, sparse autoencoders and softmax layer.
Translation of sparse filtering from Matlab (https://github.com/jngiam/sparseFiltering) to python.
Algorithm publication available from http://papers.nips.cc/paper/4334-sparse-filtering.pdf
Implementation of a convolutional neural network with features learned from sparse filtering.
Parallelised version of the above. Used for nightly processing of Pan-STARRS1 imaging.