Generalized Random Forests
☆1,081Mar 4, 2026Updated last month
Alternatives and similar repositories for grf
Users that are interested in grf are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Working repository for Causal Tree and extensions☆450Apr 12, 2025Updated 11 months ago
- Policy learning via doubly robust empirical welfare maximization over trees☆87Feb 18, 2026Updated last month
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,581Updated this week
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆122Apr 10, 2021Updated 5 years ago
- DEPRECATED. See new generalized random forest package for up-to-date implementation.☆56Aug 26, 2017Updated 8 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- ☆238Mar 1, 2023Updated 3 years ago
- Synthetic difference in differences☆301Jan 15, 2024Updated 2 years ago
- scikit-learn compatible Python bindings for grf (generalized random forests) C++ random forest library☆34May 7, 2022Updated 3 years ago
- A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.☆22Nov 9, 2016Updated 9 years ago
- This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.☆70Dec 12, 2017Updated 8 years ago
- Uplift modeling and causal inference with machine learning algorithms☆5,796Mar 21, 2026Updated 3 weeks ago
- A Fast Implementation of Random Forests☆808Feb 1, 2026Updated 2 months ago
- R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).☆78Dec 16, 2025Updated 3 months ago
- Optimized regression discontinuity designs☆30Dec 12, 2022Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Fixed-effects estimations☆441Mar 19, 2026Updated 3 weeks ago
- Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1☆16Apr 17, 2020Updated 5 years ago
- iml: interpretable machine learning R package☆503Feb 24, 2025Updated last year
- ☆98Jan 4, 2024Updated 2 years ago
- Implements the Causal Forest algorithm formulated in Athey and Wager (2018).☆72Jun 12, 2020Updated 5 years ago
- Approximately balanced estimation of average treatment effects in high dimensions.☆35Jul 29, 2021Updated 4 years ago
- ☆44Apr 24, 2021Updated 4 years ago
- An index of algorithms for learning causality with data☆3,250Jan 22, 2025Updated last year
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,308Updated this week
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆8,038Updated this week
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆161Jun 17, 2021Updated 4 years ago
- This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods…☆35Jan 26, 2025Updated last year
- DoubleML - Double Machine Learning in R☆162Apr 14, 2025Updated 11 months ago
- heterogeneous treatment effect estimation with causal forests☆12May 1, 2023Updated 2 years ago
- DoubleML - Double Machine Learning in Python☆722Mar 25, 2026Updated 2 weeks ago
- Counterfactual Regression☆319Dec 7, 2022Updated 3 years ago
- Causal Inference using Bayesian Additive Regression Trees☆87Jul 30, 2025Updated 8 months ago
- Machine Learning Estimation of Heterogeneous Causal Effects☆25Sep 6, 2021Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Fast approximate Shapley values in R☆132May 24, 2025Updated 10 months ago
- An R package for causal inference in time series☆1,817Mar 31, 2026Updated last week
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆72Apr 26, 2025Updated 11 months ago
- A Python package for modular causal inference analysis and model evaluations☆814Apr 6, 2025Updated last year
- Difference in Differences with Multiple Periods, website: https://bcallaway11.github.io/did☆389Apr 4, 2026Updated last week
- An R package for working with causal directed acyclic graphs (DAGs)☆459Mar 17, 2026Updated 3 weeks ago
- Advanced and Fast Data Transformation in R☆697Mar 27, 2026Updated 2 weeks ago