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 …

Jupyter NotebookPythonCythonOthermachine-learningeconomicseconometricscausalitycausal-inferencetreatment-effects
This is stars and forks stats for /py-why/EconML repository. As of 26 Apr, 2024 this repository has 3216 stars and 647 forks.

EconML: A Python Package for ML-Based Heterogeneous Treatment Effects Estimation EconML is a Python package for estimating heterogeneous treatment effects from observational data via machine learning. This package was designed and built as part of the ALICE project at Microsoft Research with the goal to combine state-of-the-art machine learning techniques with econometrics to bring automation to complex causal inference problems. The promise of EconML: Implement recent techniques in the literature...
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