bayesian-networks
There are 219 repositories under bayesian-networks topic.
py-why/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.
pgmpy/pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
afshinea/stanford-cs-221-artificial-intelligence
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
google/neural-tangents
Fast and Easy Infinite Neural Networks in Python
mckinsey/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
kumar-shridhar/PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
microsoft/browsecloud
A web app to create and browse text visualizations for automated customer listening.
aimclub/BAMT
Repository of a data modeling and analysis tool based on Bayesian networks
paulgovan/BayesianNetwork
Bayesian Network Modeling and Analysis
amidst/toolbox
A Java Toolbox for Scalable Probabilistic Machine Learning
kevinsbello/dagma
A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization"
causalincentives/pycid
Library for graphical models of decision making, based on pgmpy and networkx
artiste-qb-net/quantum-fog
Python tools for analyzing both classical and quantum Bayesian Networks
felixleopoldo/benchpress
Scalable open-source software to run, develop, and benchmark causal discovery algorithms
dkesada/dbnR
Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package
larslorch/dibs
DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021
davenza/PyBNesian
PyBNesian is a Python package that implements Bayesian networks.
itsrainingdata/sparsebn
Software for learning sparse Bayesian networks
godai0519/BayesianNetwork
An implementation of Bayesian Networks Model for pure C++14 (11) later, including probability inference and structure learning method.
aimclub/Web-BAMT
Online tool for Bayesian Networks
bd2kccd/r-causal
R Wrapper for Tetrad Library
paulgovan/RiskNetwork
Risk Network Modeling and Analysis
fahadm/Bayesian-Active-Learning-Pytorch
Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Bayesian-Active-Learning/))
MauroCE/PythonBRMLtoolbox
Python 3.7 version of David Barber's MATLAB BRMLtoolbox
amirjamez/COBAYN
COBAYN: Compiler Autotuning Framework Using Bayesian Networks
hyu-ub/BayesNetBP
R package for inference in Bayesian networks.
Benjamin-Walker/heart-murmur-detection
Dual Bayesian ResNet: A Deep Learning Approach to Heart Murmur Detection (Physionet Challenge 2022)
jluttine/junction-tree
The junction tree algorithm for (discrete) factor graphs
robson-fernandes/dbnlearn
dbnlearn: An R package for Dynamic Bayesian Network Structure Learning, Parameter Learning and Forecasting
mikeroyal/Bayesian-Statistics-Guide
Bayesian Statistics Guide
herolab-uga/bsac
Bayesian Soft Actor Critic
SAP-archive/bayesian-network-builder
Domain specific language for modelling dynamic Bayesian networks and estimating posteriors
breandan/markovian
🎲 A Kotlin DSL for probabilistic programming.
hayesall/awesome-bayes-nets
⚗️ A curated list of Books, Research Papers, and Software for Bayesian Networks.
cbg-ethz/SGS
Inference in Bayesian Networks with R
Duntrain/dagrad
dagrad is a Python package that provides an extensible, modular platform for developing and experimenting with differentiable (gradient-based) structure learning methods.