BioSTEAM's Premier Thermodynamic Engine
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Updated
May 24, 2024 - Python
BioSTEAM's Premier Thermodynamic Engine
Bioinformatics library in Kotlin
Python library for multivariate dependence modeling with Copulas
ModelGaussian_Mixture_Model
A python implementation of the Fundamental Measure Theory for hard-sphere mixture in classical Density Functional Theory
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…
Project code for "Direct Fitting of Gaussian Mixture Models"
Adaptive Mixture of Student-t distributions
Replication package for Abbring and Salimans (2021), "The Likelihood of Mixed Hitting Times," with MATLAB code for estimating mixed hitting-time models
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…
Unsupervised clustering of sequences of arbitrary length using mixture of discrete-state markov models.
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.
Unsupervised Learning of Mixture of von Mises-Fisher distributions using Minimum Message Length
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