Graphical Models Resources

Published: 27 Aug 2015 Category: machine_learning


Probabilistic Graphical Models


Scalable learning of graphical models: A KDD’16 Tutorial


A Brief Introduction to Graphical Models and Bayesian Networks

An Introduction To Graphical Models(by Michael I. Jordan. 1997)

Human-level concept learning through probabilistic program induction

Graphical Models Lectures 2015

2 Graphical Models in a Nutshell

An ICCV 2015 Tutorial on Inference and Learning in Discrete Graphical Models: Theory and Practice


pomegranate: Fast, flexible and easy to use probabilistic modelling in Python

merlin: An extensible C++ library for probabilistic inference in graphical models

pgmpy: Python Library for Probabilistic Graphical Models