#Expectation-maximization

psaris

funq

Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"

Labo-Lacourse

stepmix

A Python package following the scikit-learn API for model-based clustering and generalized mixture modeling (latent class/profile analysis) of continuous and categorical data. StepMix handles missing values through Full Information Maximum Likelihood (FIML) and provides multiple stepwise Expectation-Maximization (EM) estimation methods.

mr-easy

GMM-EM-Python

Python implementation of EM algorithm for GMM. And visualization for 2D case.

cambridge-mlg

DUN

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

m-clark

models-by-example

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

manuwhs

Trapyng

Python library to implement advanced trading strategies using machine learning and perform backtesting.