Unsupervised feature learning for audio classification using convolutional deep belief networks

Implemented a Hidden Markov Model (HMM) for gestures recognition

My exercise for Coursera Machine Learning Course.

My solutions to UFLDL Tutorial (http://deeplearning.stanford.edu/wiki/index.php/UFLDL_Tutorial)

A distance metric analysis approach to pattern characterisation

The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.

Implement the K-means unsupervised learning algorithm. Utilized the simplified Iris dataset to test code.

Solutions for Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

This is where I play and learn about machine learning applications.

This repository shows code of programming tasks which I completed during Machine Learning course on Coursera.

SALT (iccv2017) based Video Denoising Codes, Matlab implementation

OCTOBOS, overcomplete transform, learning and application codes, Matlab implementation, IJCV2015 paper

Directed Batch Growing Self Organizing Map

EC503Project Fall2017 Anomaly Detection

Machine Learning Projects for the Dr. Andrew Ng's course on Coursera

Ant Colony based Clustering in MATLAB

k-means (unsupervised learning/clustering) algorithm implemented in MATLAB.

Image Denoising Codes using STROLLR learning, the Matlab implementation of the paper in ICASSP2017

Unsupervised Learning of Mixture of von Mises-Fisher distributions using Minimum Message Length