EddieYang211 / ebal-py
Python implementation of Entropy Balancing for binary and continuous treatment
☆19Updated 3 years ago
Alternatives and similar repositories for ebal-py:
Users that are interested in ebal-py are comparing it to the libraries listed below
- Causality with machine learning, topic including causal represenation learning, causal reinforcement learning☆11Updated 3 years ago
- Code for Colangelo and Lee (2025)☆13Updated last month
- Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)☆28Updated last year
- Code to run submissions for the Atlantic Causal Inference Competition☆42Updated 6 months ago
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆73Updated 2 years ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆58Updated 4 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆87Updated last year
- R and python implementations of Accelerated Bayesian Causal Forest.☆25Updated 8 months ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆66Updated 7 months ago
- Implements the Causal Forest algorithm formulated in Athey and Wager (2018).☆69Updated 4 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆136Updated 8 months ago
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆62Updated last year
- ☆42Updated 3 years ago
- EconML/CausalML KDD 2021 Tutorial☆161Updated last year
- ☆23Updated 3 years ago
- Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica…☆28Updated 4 years ago
- Non-parametrics for Causal Inference☆43Updated 2 years ago
- pytorch implementation of dragonnet☆37Updated 2 years ago
- scikit-learn compatible Python bindings for grf (generalized random forests) C++ random forest library☆31Updated 2 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆82Updated 6 years ago
- Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…☆13Updated 2 years ago
- Policy learning via doubly robust empirical welfare maximization over trees☆78Updated 9 months ago
- Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"☆21Updated last year
- Data for and description of the ACIC 2023 data competition☆32Updated last year
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆24Updated 2 years ago
- ☆16Updated 5 years ago
- ☆262Updated 2 years ago
- A curated list of awesome work on causal inference, particularly in machine learning.☆99Updated 3 years ago
- dbnlearn: An R package for Dynamic Bayesian Network Structure Learning, Parameter Learning and Forecasting☆16Updated 4 years ago
- ☆13Updated last year