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…
☆4,683Jun 22, 2026Updated last week
Alternatives and similar repositories for EconML
Users that are interested in EconML are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Uplift modeling and causal inference with machine learning algorithms☆5,882Jun 20, 2026Updated last week
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆8,185Updated this week
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,387Jun 9, 2026Updated 3 weeks ago
- DoubleML - Double Machine Learning in Python☆748Jun 4, 2026Updated 3 weeks ago
- An index of algorithms for learning causality with data☆3,270Jan 22, 2025Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,472Updated this week
- Generalized Random Forests☆1,097Apr 30, 2026Updated 2 months ago
- A Python package for modular causal inference analysis and model evaluations☆823May 26, 2026Updated last month
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆357Apr 15, 2026Updated 2 months ago
- Causal Discovery in Python. Learning causality from data.☆1,642Updated this week
- A Python package for causal inference in quasi-experimental settings☆1,155Jun 23, 2026Updated last week
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,228Oct 13, 2025Updated 8 months ago
- Uplift modeling package.☆377Oct 28, 2022Updated 3 years ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI☆800Dec 1, 2025Updated 6 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,350Jan 8, 2022Updated 4 years ago
- uplift modeling in scikit-learn style in python☆808Oct 21, 2023Updated 2 years ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆750Nov 23, 2022Updated 3 years ago
- Working repository for Causal Tree and extensions☆450Apr 12, 2025Updated last year
- ☆531Dec 16, 2024Updated last year
- Causal Inference in Python☆576Jun 21, 2025Updated last year
- An R package for causal inference in time series☆1,845Mar 31, 2026Updated 3 months ago
- Fit interpretable models. Explain blackbox machine learning.☆6,881Jun 22, 2026Updated last week
- A game theoretic approach to explain the output of any machine learning model.☆25,563Jun 22, 2026Updated last week
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,518Jul 13, 2025Updated 11 months ago
- UpliftML: A Python Package for Scalable Uplift Modeling☆336Mar 23, 2023Updated 3 years ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆673Jan 13, 2025Updated last year
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆160Jun 17, 2021Updated 5 years ago
- AutoML for causal inference.☆241Dec 18, 2024Updated last year
- A curated list of causal inference libraries, resources, and applications.☆1,175Apr 21, 2026Updated 2 months ago
- Additional linear models including instrumental variable and panel data models that are missing from statsmodels.☆1,049Jun 22, 2026Updated last week
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆71Apr 26, 2025Updated last year
- Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at☆1,681Jan 14, 2026Updated 5 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Repository with code and slides for a tutorial on causal inference.☆591Sep 23, 2019Updated 6 years ago
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,058May 22, 2026Updated last month
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆67Mar 7, 2024Updated 2 years ago
- ☆296Apr 3, 2022Updated 4 years ago
- Synthetic difference in differences☆312Jan 15, 2024Updated 2 years ago
- Counterfactual Regression☆319Dec 7, 2022Updated 3 years ago
- A data index for learning causality.☆492Oct 25, 2023Updated 2 years ago