Matlab code of machine learning algorithms in book PRML

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to …

machine learning course programming exercise

Pattern Recognition Toolbox for MATLAB

Graph Signal Processing in Matlab

Matlab implementations of Gaussian processes and other machine learning tools.

Implementation of Semantic Hashing. Modified from Ruslan Salakhutdinov and Geoff Hinton's code of training Deep AutoEncoder

MATLAB Active Learning Toolbox for Remote Sensing

Matlab implementation of Implicit mixtures of Conditional Restricted Boltzmann Machines.

This is my solution for Andrew Ng's UFLDL Tutorial. It is used as an reference for checking the correctness of your written code

A machine learning library focused on deep learning

One-class classification with Gaussian processes

Matlab Environment for Deep Architecture Learning

Tutorial code for Auto-Encoders, implementing Marc'Aurelio Ranzato's Sparse Encoding Symmetric Machine and testing it on the MNIST handwritten digits data.

This is my solution for Andrew Ng's UFLDL Tutorial. It is used as an reference for checking the correctness of your written code