hbhuangvip

RVM-MATLAB

MATLAB code for Relevance Vector Machine using SB2_Release_200.

BayesOnline_ChangePoint_Detection

MATLAB implementation of Bayesian Online ChangePoint Detection

LowRank_ChangePoints

Low rank estimation and change point detection

Bayesian-Time-Series-Segmentation

Gibbs sampling algorithm for change point detection in bursty time series data

BCPD1.0

Bayesian change-point detection

SVDD-MATLAB

MATLAB Code for abnormal detection using Support Vector Data Description (SVDD).

Tensor-Robust-Principal-Component-Analysis-TRPCA

Tensor Robust Principal Component Analysis (TRPCA) based on a new tensor nuclear norm

SubKit

Subspace Clustering Library

SsVGMM

A semi-supervised variational Gaussian mixture model

MatlabFunc

Matlab codes for feature learning

lrslibrary

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

vbmixpca

Implements mixture of PPCA's for point clouds

Clustering

Clustering / Subspace Clustering Algorithms on MATLAB

ML_toolbox

A Machine learning toolbox containing algorithms for non-linear dimensionality reduction, clustering, classification and regression along with examples and tutorials which accompany the Master level "Advanced Machine Learning" and "Machine Learning Programming" courses taught at EPFL by Prof. Aude Billard

kmbox

Kernel Methods Toolbox for Matlab/Octave

Matlab-Toolbox-for-Dimensionality-Reduction

Matlab Toolbox for Dimensionality Reduction

KPCA-MATLAB

MATLAB code for dimensionality reduction, feature extraction, fault detection, and fault diagnosis using Kernel Principal Component Analysis (KPCA).

Python-Tensorflow-DeepXDE

DeepXDE-and-PINN

DeepXDE and PINN

piDMD

MATLAB codes for physics-informed dynamic mode decomposition (piDMD)

Weak-SINDy-AIC

WSINDy formulation with Akaike information criterion

EnsembleSINDy

SINDY-MPC

BSBL-FM

A fast implementation of the Block Sparse Bayesian Learning algorithm

FastSBL

A fast sparse Bayesian learning algorithm based on gaussian scale mixture model for regression problem

GAMP_SBL

Computationally Efficient Sparse Bayesian Learning via Generalized Approximate Message Passing

variational-bayes-cs

Scalable sparse Bayesian learning for large CS recovery problems

BGCS

Bayesian Group-sparse Compressed Sensing Toolbox (FG 2015)

VBCCA

Variational Bayesian Canonical Correlation Analysis

Probabilistic-Graphical-Models

Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.