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Top 8 bayesian-networks open source projects

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

✭ 1,923

data-science artificial-intelligence cheatsheet constraint-satisfaction-problem a-star markov-decision-processes bayesian-networks

Pgmpy

Python Library for learning (Structure and Parameter) and inference (Probabilistic and Causal) in Bayesian Networks.

✭ 1,942

python shell statistics statistical-inference bayesian-networks probabilistic-graphical-models causal-inference structure-learning

Dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

✭ 3,480

python machine-learning data-science graphical-models causality bayesian-networks causal-inference treatment-effects causal-models do-calculus causal-machine-learning

markovian

🎲 A Kotlin DSL for probabilistic programming.

✭ 13

java kotlin python bayesian-networks probabilistic-graphical-models uncertainty-propagation probabilistic-circuits

sparsebn

Software for learning sparse Bayesian networks

✭ 41

r machine-learning statistics regularization graphical-models bayesian-networks covariance-matrices experimental-data

pycid

Library for graphical models of decision making, based on pgmpy and networkx

✭ 64

Jupyter Notebook python causality bayesian-networks influence-diagrams

BayesianNetwork

An implementation of Bayesian Networks Model for pure C++14 (11) later, including probability inference and structure learning method.

✭ 36

C++CMake library bayesian-networks

dbnR

Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package

✭ 33

r C++Jupyter Notebook time-series inference forecasting bayesian-networks dynamic-bayesian-networks

1-8 of 8 bayesian-networks projects