note for some.

R package to fit mixture of linear regressions.

Fast Expectation Maximization (EM) algorithm for weighted samples in MATLAB

This repository contains functions for obtaining posterior samples of allocation variables in multiple Bayesian over-fitted (sparse finite) mixed-scale mixture models. Mixture models included: 1) Bayesian Tensor Mixture of Product Kernels model (BayesTMPK), 2) Modularized Tensor Factorizations (MOTEF), 3) Bayesian Mixture of Product Kernels (Bay…

Mixture Density Network example with a two component function

Manifold algorithm using a Mixture of Factor Analyzers.

It is envisaged to eliminate these light constituents by distillation (flash or stripping). A preliminary study of the operating conditions of the process can be done in pseudo-binary: we assimilate the C7 cut to n-heptane and the light ones to ethane. We wish to construct the diagrams [T-x-y] and [x-y], [h-x-y] of the ethane-n-heptane binary u…

Adaptive Mixture of Student-t distributions

Unsupervised clustering of sequences of arbitrary length using mixture of discrete-state markov models.

foehnix package for R

ESE 650: Learning in Robotics Project 1, Color Segmentation using Gaussian Mixture Models

A python implementation of the Fundamental Measure Theory for hard-sphere mixture in classical Density Functional Theory

Replication package for Abbring and Salimans (2021), "The Likelihood of Mixed Hitting Times," with MATLAB code for estimating mixed hitting-time models

ModelGaussian_Mixture_Model

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

Some examples on computing MLEs using TensorFlow

Project code for "Direct Fitting of Gaussian Mixture Models"

Bioinformatics library in Kotlin