Generalized Random Forests
☆1,103Apr 30, 2026Updated 2 months ago
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☆449Apr 12, 2025Updated last year
- Policy learning via doubly robust empirical welfare maximization over trees☆87Feb 18, 2026Updated 5 months ago
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,720Updated this week
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆124Apr 10, 2021Updated 5 years ago
- DEPRECATED. See new generalized random forest package for up-to-date implementation.☆56Aug 26, 2017Updated 8 years 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.
- Synthetic difference in differences☆312Jan 15, 2024Updated 2 years ago
- ☆239Mar 1, 2023Updated 3 years ago
- scikit-learn compatible Python bindings for grf (generalized random forests) C++ random forest library☆34May 7, 2022Updated 4 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
- A Fast Implementation of Random Forests☆813Feb 1, 2026Updated 5 months ago
- Uplift modeling and causal inference with machine learning algorithms☆5,931Updated this week
- R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).☆78Jul 2, 2026Updated 2 weeks ago
- Optimized regression discontinuity designs☆30Dec 12, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- heterogeneous treatment effect estimation with causal forests☆12May 1, 2023Updated 3 years ago
- Fixed-effects estimations☆448Jun 26, 2026Updated 3 weeks ago
- Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1☆16Apr 17, 2020Updated 6 years ago
- iml: interpretable machine learning R package☆502Feb 24, 2025Updated last year
- Implements the Causal Forest algorithm formulated in Athey and Wager (2018).☆75Jun 12, 2020Updated 6 years ago
- ☆98Jan 4, 2024Updated 2 years ago
- Approximately balanced estimation of average treatment effects in high dimensions.☆35Jul 29, 2021Updated 4 years ago
- ☆45Apr 24, 2021Updated 5 years ago
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,412Jul 8, 2026Updated last week
- 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.
- An index of algorithms for learning causality with data☆3,271Jan 22, 2025Updated last year
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆160Jun 17, 2021Updated 5 years ago
- DoubleML - Double Machine Learning in R☆165Apr 14, 2025Updated last year
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆8,226Updated this week
- This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods…☆37Jan 26, 2025Updated last year
- DoubleML - Double Machine Learning in Python☆759Updated this week
- Counterfactual Regression☆319Dec 7, 2022Updated 3 years ago
- Causal Inference using Bayesian Additive Regression Trees☆87Jul 30, 2025Updated 11 months ago
- Machine Learning Estimation of Heterogeneous Causal Effects☆25Sep 6, 2021Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- An R package for causal inference in time series☆1,848Mar 31, 2026Updated 3 months ago
- Difference in Differences with Multiple Periods, website: https://bcallaway11.github.io/did☆410Jul 14, 2026Updated last week
- Fast approximate Shapley values in R☆137Jul 6, 2026Updated 2 weeks ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆71Apr 26, 2025Updated last year
- A Python package for modular causal inference analysis and model evaluations☆831May 26, 2026Updated last month
- Advanced and Fast Data Transformation in R☆705Updated this week
- Matrix Completion Methods for Causal Panel Data Models☆107Aug 17, 2021Updated 4 years ago