#计算机科学#DoWhy是微软开发的一个用于因果推断的Python库，旨在引发因果关系思考和分析
Python Library for Causal and Probabilistic Modeling using Bayesian Networks
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
Fast and Easy Infinite Neural Networks in Python
#计算机科学#A Python library that helps data scientists to infer causation rather than observing correlation.
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
#自然语言处理#A web app to create and browse text visualizations for automated customer listening.
Repository of a data modeling and analysis tool based on Bayesian networks
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"
#计算机科学#A Java Toolbox for Scalable Probabilistic Machine Learning
Library for graphical models of decision making, based on pgmpy and networkx
Python tools for analyzing both classical and quantum Bayesian Networks
Scalable open-source software to run, develop, and benchmark causal discovery algorithms
#时序数据库#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.
#计算机科学#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.