https://github.com/py-why/dowhy
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.
causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
https://github.com/biomedsciai/causallib
A Python package for modular causal inference analysis and model evaluations
CARNIVAL
CAusal Reasoning for Network Identification with integer VALue programming in R
bnlearn
Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.
https://github.com/alan-turing-institute/causal-cyber-defence
This repository contains glue-code necessary to run dynamic Causal Bayesian optimisation within the Yawning Titan cyber-simulation environment.
r-pipeline-development-workshop
Workshop on pipeline development and model deployment onto Kubernetes via Docker using R.
agrum
This repository is a mirror. If you want to raise an issue or contact us, we encourage you to do it on Gitlab (https://gitlab.com/agrumery/aGrUM).