expectation-maximization topic
ml-simulations
Animated Visualizations of Popular Machine Learning Algorithms
models-by-example
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
em-explanation
Notebooks explaining the intuition behind the Expectation Maximisation algorithm
EMSSL
[MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation
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...
HMRF-GMM-EM-Segmentation
Image segmentation using the EM algorithm that relies on a GMM for intensities and a MRF model on the labels. Based on "Segmentation of brain MR images through a hidden Markov random field model and t...
Gaussian-Mixture-Model
C++ library handling Gaussian Mixure Models
Trapyng
Python library to implement advanced trading strategies using machine learning and perform backtesting.
GFlowNet-EM
Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.