Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

UpliftML: A Python Package for Scalable Uplift Modeling

Replication code and downloadable example data sets for The Effect

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…

An R package for causal inference in time series

Uplift modeling and evaluation library. Actively maintained pypi version.

Uplift modeling package.

☣:chart_with_upwards_trend::chart_with_downwards_trend:☣ Compute and visualise incidence

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

Uplift modeling and causal inference with machine learning algorithms

Python implementation of the rulefit algorithm

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 graphic…