mixture

A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)

BioSTEAM's Premier Thermodynamic Engine

User Defined Functions for multi-component thermodynamic calculations of the Predictive Peng-Robinson 1978 Equation of State. Clean VBA functions - no UI changes and no pop up messages. Errors are reported in cell comments. Import Math.bas, ModArraySupport.bas and ChemE_Functions.bas into PData.xlsx and save as xlsm or simply download PData.xlsm.

Bioinformatics library in Kotlin

Some examples on computing MLEs using TensorFlow

Project code for "Direct Fitting of Gaussian Mixture Models"

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

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

foehnix package for R

Adaptive Mixture of Student-t distributions

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

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

note for some.

Mixture Density Network example with a two component function

R package to fit mixture of linear regressions.

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 (BayesMPK), 4) Bayesian Mixture of Multivariate Gaussians (BayesMixMultGauss). Functions 1 and 2 include ability to model compositional data with essential zeros. Functions 3 and 4 include ability to model non-zero compositional data.

Manifold algorithm using a Mixture of Factor Analyzers.

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