Updated 8 months ago

https://github.com/py-why/dowhy • Rank 24.8 • Science 46%

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.

Updated 8 months ago

causalnex • Rank 11.4 • Science 54%

A Python library that helps data scientists to infer causation rather than observing correlation.

Updated 8 months ago

https://github.com/biomedsciai/causallib • Rank 16.5 • Science 46%

A Python package for modular causal inference analysis and model evaluations

Updated 8 months ago

CARNIVAL • Rank 16.3 • Science 46%

CAusal Reasoning for Network Identification with integer VALue programming in R

Updated 8 months ago

bnlearn • Rank 17.7 • Science 36%

Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.

Updated 8 months ago

https://github.com/alan-turing-institute/causal-cyber-defence • Rank 3.3 • Science 20%

This repository contains glue-code necessary to run dynamic Causal Bayesian optimisation within the Yawning Titan cyber-simulation environment.

Updated 8 months ago

multibias • Science 49%

R Package for Multi-Bias Analysis in Causal Inference