mixture

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

Python library for multivariate dependence modeling with Copulas

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

The official implementation of the paper "Understanding and Harnessing Sparsity in Unified Multimodal Models".

AIM (Adsorption Integrated Modules) is a collection of MATLAB based GUI modules for adsorption isotherm based fixed bed process modelling

Project code for "Direct Fitting of Gaussian Mixture Models"

Some examples on computing MLEs using TensorFlow

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

ModelGaussian_Mixture_Model

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

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

[MOVED TO CODEBERG] foehnix package for R

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

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

Manifold algorithm using a Mixture of Factor Analyzers.

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…