timmens / causal-forestLinks
Implements the Causal Forest algorithm formulated in Athey and Wager (2018).
☆71Updated 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☆67Updated last year
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆72Updated 8 months ago
- Fit Sparse Synthetic Control Models in Python☆87Updated last year
- Working repository for Causal Tree and extensions☆448Updated 9 months ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆161Updated 4 years ago
- difference-in-differences in Python☆107Updated last year
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆120Updated 4 years ago
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆27Updated 2 years ago
- Policy learning via doubly robust empirical welfare maximization over trees☆86Updated 5 months ago
- A Python package for causal inference using Synthetic Controls☆192Updated last year
- scikit-learn compatible Python bindings for grf (generalized random forests) C++ random forest library☆34Updated 3 years ago
- A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.☆22Updated 9 years ago
- EconML/CausalML KDD 2021 Tutorial☆167Updated 2 years ago
- Synthetic difference in differences for Python☆87Updated last year
- DEPRECATED. See new generalized random forest package for up-to-date implementation.☆55Updated 8 years ago
- ☆44Updated 4 years ago
- Documentation and User Guide for DoubleML - Double Machine Learning in Python & R☆26Updated this week
- replication python code for synthetic difference in difference simulation. please check https://arxiv.org/abs/1812.09970 and https://gi…☆15Updated 6 years ago
- Python tools for regression discontinuity designs☆69Updated 6 years ago
- ☆96Updated 2 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆153Updated last year
- ☆288Updated 3 years ago
- Code for Shopper, a probabilistic model of shopping baskets☆54Updated 5 years ago
- Code for Colangelo and Lee (2025)☆16Updated 11 months ago
- Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…☆13Updated 3 years ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆56Updated 7 months ago
- ☆100Updated 5 years ago
- Some notes on Causal Inference, with examples in python☆154Updated 5 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆93Updated 2 years ago
- Fixedeffectmodel: panel data modeling in Python☆78Updated 3 years ago