General purpose C++ library for managing discrete factor graphs

Probabilistic inference of somatic copy number alterations using repeat DNA (FAST-SeqS)

Cutset networks implementation in C++

Repo to build Bayesian Networks in c++

Realistic simulation of property graphs

A Collection of Utilities for Modeling Multivariate Data Using Probabilistic Graphical Models

Implemented the Gibbs sampler over the Markov network structure to perform inference over the OCR graphical models.

An ASCII visualizer for the probability mass function of a binomial distribution.

Discrete factor operations for probabilistic graphical models

Implementation of the an algorithm that finds conditional in-dependencies between different nodes in the network.

(Reproduction)Sum-product network implementation and its application to image completion.

Text language detector based on n-grams

Implemented a Bayesian network for Optical Character Recognition. Implemented inference algorithmic techniques i.e. message passing and loop belief propagation