#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
#计算机科学#A Java Toolbox for Scalable Probabilistic Machine Learning
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"
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.