Implementation of learning a Gaussian mixture model using tensor decomposition.
-
Updated
May 29, 2017 - Jupyter Notebook
Implementation of learning a Gaussian mixture model using tensor decomposition.
Exercise solution o Mathematical Statistic course
Electric field volume integral equation solver, incorporating method of moments and SWG basis functions.
Assignment submission for the course - Probability and Statistics for Data Science
Electric Field Integral Equation (EFIE) numerical solver for 2D arbitrary and inhomogeneous objects with cylindrical symmetry.
Python implementation of "Learning mixtures of spherical Gaussians: moment methods and spectral decompositions, arXiv:1206.5766v4 [cs.LG]" (ACM 2013)
Method of Moments for 2D electromagnetic problems.
High-order Moments of Multivariate Polynomials
Mathematica package for quadrature moment methods
An open-source C++ library to simulate Population balance models
Method of Moments and Maximum Likelihood estimation for a Beta model
Contains some examples on the solution of basic electrostatic problems using MoM formulation
Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions
PyQBMMlib is a Python extension of QBMMlib
Method of Moments (MoM) estimation for the univariate Gamma distribution
Parallel open source MLFMA (multi level fast multipole algorithm)
Statistics and ML labs for Data Science course
Integral equation method for Topology Optimization
Add a description, image, and links to the method-of-moments topic page so that developers can more easily learn about it.
To associate your repository with the method-of-moments topic, visit your repo's landing page and select "manage topics."