gcasamat

grf

Generalized Random Forests

hpiR

House Price Indexes in R

shap

A game theoretic approach to explain the output of any machine learning model.

symmetrical-disco

EconML

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.

doubleml-for-py

DoubleML - Double Machine Learning in Python

networkanalysis

Java package that provides data structures and algorithms for network analysis.

sdid

Synthetic Difference in Differences for Stata

synthdid.py

gcasamat/shap

A game theoretic approach to explain the output of any machine learning model.

gcasamat/hpiR

House Price Indexes in R

gcasamat/grf

Generalized Random Forests

gcasamat/symmetrical-disco