bayesian-networks 话题在 GitHub 上没有填写简介，这里按 Star 数汇总最相关的热门仓库。
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.
Python Toolkit for Causal and Probabilistic Reasoning
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
A Python library that helps data scientists to infer causation rather than observing correlation.
Python中快速简单的无限神经网络
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
A web app to create and browse text visualizations for automated customer listening.
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"
基于贝叶斯网络的数据建模与分析工具库
Bayesian Network Modeling and Analysis
A Java Toolbox for Scalable Probabilistic Machine Learning
Library for graphical models of decision making, based on pgmpy and networkx
Scalable open-source software to run, develop, and benchmark causal discovery algorithms
Python tools for analyzing both classical and quantum Bayesian Networks
Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package
DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021
PyBNesian is a Python package that implements Bayesian networks.
Software for learning sparse Bayesian networks
An implementation of Bayesian Networks Model for pure C++14 (11) later, including probability inference and structure learning method.
R Wrapper for Tetrad Library