#Bayesian-networks
Showing 6 of 6 repositories tagged #bayesian-networks, ranked by stars
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.
A web app to create and browse text visualizations for automated customer listening.
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/))