carloscinelli/dml.sensemakr

Suite of sensitivity analysis tools for OLS

Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr

DoubleML - Double Machine Learning in Python

Causal Inference using Bayesian Additive Regression Trees

DoubleML - Double Machine Learning in R

R package mediation

Causal Inference in Python

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 goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

Uplift modeling and causal inference with machine learning algorithms