Accompanying code for the paper “An Expectation-Maximization Algorithm to Compute a Stochastic Factorization From Data”.

Assignment for Uncertainity in AI Course IITD

Expectation Maximisation for a Gaussian Mixture Model Implemetation of the expectation maximisation algorithm for Gaussian Mixture Models in C++

Image Clustering Algorithm implemented in C++

Bayes Net learning based on EM method

[ppca-cpp] Probabilistic PCA (PPCA) with missing-data support — fast C++ core, clean Python API.

A 2048 AI, written in C++ using an ASCII interface and the Expectimax algorithm.

A lightweight particle filter library for the ROS context.

gmm_diag and gmm_full: C++ classes for multi-threaded Gaussian mixture models and Expectation-Maximisation

A LibreOffice Calc extension that clusters the rows in a table and colors them to indicate the clusters.

Efficient Local Ancestry Inference

An R package for predicting ploidal level from sequence data using site-based heterozygosity 

Accucopy is a computational method that infers Allele-Specific Copy Number alterations from low-coverage low-purity tumor sequencing data.

C++ library handling Gaussian Mixure Models