Qt based tool for editing maps generated by ROS gmapping package.

counterfactuals for magnetic resonance images of multiple sclerosis

Exploring the deep bayesian network

Python skeleton code for assignments of Probabilistic Graphical Models course on Coursera.

Probabilistic Graphical Models from Scratch with support for LWF Chain Graphs

Convert PGM maps created in newer Minecraft versions to be usable in 1.8

CSCI 55500 Cryptography

Probability Graph Model Library

Can I predict the intent of a developer using his manifest files? On top of that can I recommend components or packages to the developers?

This is a project in which exact inference for tree-structured graph and approximate inference for general graph is implemented.

Finding of the missed values in the adjacency matrix of a big undirected weighted graph by utilizing probabilistic graphical models. The adjacency matrix's values were modeled with Poisson distribution and Gamma prior.

A library to manipulate PGM images using Python.

probabilistic matrix factorization for recommender system based on gibbs sampling and variational mean field - final projects of probablistic graphical models course

Various code to generate mandelbrot sets.

This is a collection of algorithms and models written in Python for probabilistic programming. The main focus of the package is on Bayesian reasoning by using Bayesian networks, Markov networks, and their mixing.

Graph: Representation, Learning, and Inference Methods

A python project to visualise PBM, PGM and PPM files (ascii or binary)