KColangelo / Double-ML-Continuous-TreatmentLinks
Code for Colangelo and Lee (2025)
☆15Updated 7 months ago
Alternatives and similar repositories for Double-ML-Continuous-Treatment
Users that are interested in Double-ML-Continuous-Treatment are comparing it to the libraries listed below
Sorting:
- Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…☆14Updated 3 years ago
- ☆13Updated last year
- ☆43Updated 4 years ago
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆116Updated 4 years ago
- Policy learning via doubly robust empirical welfare maximization over trees☆84Updated last month
- Non-parametrics for Causal Inference☆49Updated 3 years ago
- Causality with machine learning, topic including causal represenation learning, causal reinforcement learning☆11Updated 4 years ago
- Code to run submissions for the Atlantic Causal Inference Competition☆42Updated last year
- ☆95Updated last year
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆147Updated last year
- Documentation and User Guide for DoubleML - Double Machine Learning in Python & R☆24Updated last week
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆337Updated 11 months ago
- Repository for the ISU Causal Inference Working Group☆12Updated last year
- Notebooks for Applied Causal Inference Powered by ML and AI☆129Updated 6 months ago
- Double/Debiased Machine Learning implementation for Stata☆13Updated last week
- Python implementation of Entropy Balancing for binary and continuous treatment☆20Updated 3 years ago
- Implements the Causal Forest algorithm formulated in Athey and Wager (2018).☆69Updated 5 years ago
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆25Updated 2 years ago
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆26Updated 3 years ago
- Design of Simulations using WGAN☆53Updated 2 years ago
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆65Updated last year
- Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression disconti…☆17Updated last year
- Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica…☆30Updated 4 years ago
- difference-in-differences in Python☆105Updated last year
- Official repository for the mcf package.☆21Updated 2 weeks ago
- python implementation of Peng Ding's "First Course in Causal Inference"☆172Updated last year
- Implementation of Double Machine Learning☆36Updated 5 months ago
- This material has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and AI …☆16Updated 2 years ago
- ☆24Updated 3 years ago
- This repository contains the Python code to estimate the Forward and Augmented DID estimators.☆12Updated 9 months ago