
EconML
by py-why (organization)
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… (description from the project’s GitHub page)
Repository facts
- Stars
- 4,817
- Forks
- 832
- Open issues and pull requests
- 427
- Primary language
- Jupyter Notebook
- License
- Other license
- Owner
- py-why · Organization
- Created
- Apr 30, 2018
- Last push
- Oct 16, 2026
Topics
Related projects
Projects that share this one’s GitHub topics.
Rank 974: py-why/dowhy
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, combin…
8,359 starsPythonMITLast push Oct 18, 2026
Rank 4,247: pedrohcgs/claude-code-my-workflow
A ready-to-fork Claude Code template for academics using LaTeX/Beamer + R. Multi-agent review, quality gates, adversarial QA, and replication protocols.
1,663 starsHTMLMITLast push Sep 27, 2026
Rank 7,380: jvpoulos/causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
752 starsNo license file detectedLast push Nov 23, 2022
Rank 1,714: Kanaries/Rath
Next generation of automated data exploratory analysis and visualization platform.
4,683 starsTypeScriptAGPL-3.0Last push Aug 14, 2026
Rank 5,257: FenTechSolutions/CausalDiscoveryToolbox
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
1,243 starsPythonMITLast push Oct 13, 2025
Rank 7,122: DoubleML/doubleml-for-py
DoubleML - Double Machine Learning in Python
794 starsPythonBSD-3-ClauseLast push Sep 23, 2026