timmens / causal-forestLinks
Implements the Causal Forest algorithm formulated in Athey and Wager (2018).
☆70Updated 5 years ago
Alternatives and similar repositories for causal-forest
Users that are interested in causal-forest are comparing it to the libraries listed below
Sorting:
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆64Updated last year
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆69Updated 3 months ago
- Fit Sparse Synthetic Control Models in Python☆83Updated last year
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆156Updated 4 years ago
- A Python package for causal inference using Synthetic Controls☆187Updated last year
- difference-in-differences in Python☆103Updated last year
- Working repository for Causal Tree and extensions☆443Updated 3 months ago
- ☆42Updated 4 years ago
- Synthetic difference in differences for Python☆83Updated last year
- EconML/CausalML KDD 2021 Tutorial☆161Updated last year
- scikit-learn compatible Python bindings for grf (generalized random forests) C++ random forest library☆33Updated 3 years ago
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆25Updated 2 years ago
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆113Updated 4 years ago
- DEPRECATED. See new generalized random forest package for up-to-date implementation.☆53Updated 7 years ago
- Policy learning via doubly robust empirical welfare maximization over trees☆83Updated 2 weeks ago
- Python tools for regression discontinuity designs☆69Updated 5 years ago
- A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.☆22Updated 8 years ago
- replication python code for synthetic difference in difference simulation. please check https://arxiv.org/abs/1812.09970 and https://gi…☆15Updated 6 years ago
- Documentation and User Guide for DoubleML - Double Machine Learning in Python & R☆22Updated last week
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆333Updated 9 months ago
- ☆276Updated 3 years ago
- Fixedeffectmodel: panel data modeling in Python☆80Updated 3 years ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆52Updated 2 months ago
- ☆95Updated last year
- Some notes on Causal Inference, with examples in python☆153Updated 5 years ago
- A python module for the synthetic control method☆67Updated 3 months ago
- Code for Colangelo and Lee (2025)☆14Updated 6 months ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆143Updated last year
- Code for Shopper, a probabilistic model of shopping baskets☆52Updated 4 years ago
- Bayesian Causal Forests☆48Updated last year