kjung / scikit-learn
A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.
☆22Updated 8 years ago
Alternatives and similar repositories for scikit-learn:
Users that are interested in scikit-learn are comparing it to the libraries listed below
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆62Updated 11 months ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆66Updated 6 months ago
- Implements the Causal Forest algorithm formulated in Athey and Wager (2018).☆69Updated 4 years ago
- A Python package for propensity score matching☆52Updated 3 years ago
- ☆42Updated 3 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆81Updated 6 years ago
- DEPRECATED. See new generalized random forest package for up-to-date implementation.☆52Updated 7 years ago
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆106Updated 3 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆155Updated 3 years ago
- Policy learning via doubly robust empirical welfare maximization over trees☆78Updated 8 months ago
- Working repository for Causal Tree and extensions☆435Updated 4 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated last year
- Fit Sparse Synthetic Control Models in Python☆80Updated 10 months ago
- Some notes on Causal Inference, with examples in python☆150Updated 4 years ago
- Code to run submissions for the Atlantic Causal Inference Competition☆42Updated 6 months ago
- scikit-learn compatible Python bindings for grf (generalized random forests) C++ random forest library☆31Updated 2 years ago
- Code for Shopper, a probabilistic model of shopping baskets☆52Updated 4 years ago
- ☆256Updated 2 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆87Updated last year
- Uplift modeling and evaluation library. Actively maintained pypi version.☆74Updated last year
- ☆17Updated 5 years ago
- ☆90Updated 2 months ago
- The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis☆23Updated 2 years ago
- Causal Simulations for Uplift Modeling☆12Updated 5 years ago
- Lightweight uplift modeling framework for Python☆28Updated 5 years ago
- ☆16Updated 5 years ago
- ☆93Updated last year
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆344Updated last year
- ☆103Updated 4 years ago
- EconML/CausalML KDD 2021 Tutorial☆161Updated last year