py-why/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.

⭐ 4522 | 🍴 798

js-data/js-data

Give your data the treatment it deserves with a framework-agnostic, datastore-agnostic JavaScript ORM built for ease of use and peace of mind. Works in Node.js and in the Browser. Main Site: http://js-data.io, API Reference Docs: http://api.js-data.io/js-data

⭐ 1621 | 🍴 137

boxuancui/DataExplorer

Automate Data Exploration and Treatment

⭐ 540 | 🍴 95

ronikobrosly/causal-curve

A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.

⭐ 281 | 🍴 19