anthem-ai / causalforge
Python package that provides a suite of modeling & causal inference methods using machine learning algorithms based on Elevance Health recent research.
☆13Updated last year
Alternatives and similar repositories for causalforge:
Users that are interested in causalforge are comparing it to the libraries listed below
- Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"☆20Updated last year
- Non-parametrics for Causal Inference☆43Updated 2 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆86Updated last year
- Policy learning via doubly robust empirical welfare maximization over trees☆78Updated 7 months ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆48Updated last month
- Approximately balanced estimation of average treatment effects in high dimensions.☆34Updated 3 years ago
- SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data☆19Updated 3 years ago
- Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…☆13Updated 2 years ago
- 🎯 Targeted Learning of the Causal Effects of Stochastic Interventions☆17Updated 4 months ago
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…☆24Updated 2 years ago
- Code for Colangelo and Lee (2022)☆12Updated 7 months ago
- ☆42Updated 3 years ago
- Data for and description of the ACIC 2023 data competition☆32Updated last year
- heterogeneous treatment effect estimation with causal forests☆11Updated last year
- 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention☆12Updated 2 years ago
- pytorch implementation of dragonnet☆33Updated 2 years ago
- Code to run submissions for the Atlantic Causal Inference Competition☆42Updated 5 months ago
- ☆93Updated last year
- Packages of Example Data for The Effect☆135Updated 2 months ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆133Updated 7 months ago
- Adaptive debiased machine learning of treatment effects with the highly adaptive lasso☆14Updated last year
- Paper Repository☆11Updated 2 years ago
- Causai is a Python package for Causality in Machine Learning. We provide state-of-the-art causal algorithms and ML into decision-making s…☆12Updated 4 years ago
- ☆16Updated 5 years ago
- Causal Inference Using Quasi-Experimental Methods☆20Updated 4 years ago
- Bayesian Causal Forests☆41Updated 8 months ago
- scikit-learn compatible Python bindings for grf (generalized random forests) C++ random forest library☆31Updated 2 years ago
- Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial☆38Updated 4 years ago
- MetaLearners for CATE estimation☆34Updated last month
- The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-va…☆23Updated 2 months ago