🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)

GPstuff - Gaussian process models for Bayesian analysis

Project Page of Combining 3D Morphable Models: A Large scale Face-and-Head Model - [CVPR 2019]

multivariate Gaussian process regression and multivariate Student-t process regression

A MATLAB implementation of the TensorFlow Neural Networks Playground seen on http://playground.tensorflow.org/

Code for paper "A Distributed ADMM Approach for Collaborative Regression Learning in Edge Computing"

MATLAB code for Relevance Vector Machine using SB2_Release_200.

Code to implement efficient spatio-temporal Gaussian Process regression via iterative Kalman Filtering. KF is used to resolve the temporal part of the space-time process while, standard GP regression is used for the spatial part

Gaussian Process Regression using GPML toolbox

An ANFIS Model for Stock Price Prediction

Interactive courseware module that introduces typical workflow, setup, and considerations involved in solving regression problems with machine learning.

Machine Learning Course by Stanford on Coursera (Andrew Ng)

Implementation of Fast Orthogonal Search (FOS) Algorithm in MATLAB

Codes for Hilbert space reduced-rank GP regression

Optimization Problems Toolbox

Matlab source code of the paper: D. Wu*, C-T Lin and J. Huang*, "Active Learning for Regression Using Greedy Sampling," Information Sciences, vol. 474, pp. 90-105, 2019.

A statistics package with a variety of bootstrap and other resampling tools

Hepatitis Disease Detection Using SVM,KNN,ANN Algorithms implemented in MatLab.

Matlab source code of the iRDM algorithm in the paper: Z. Liu, X. Jiang, H. Luo, W. Fang, J. Liu and D. Wu*, "Pool-Based Unsupervised Active Learning for Regression Using Iterative Representativeness-Diversity Maximization (iRDM)," Pattern Recognition Letters, 142:11-19, 2021.