A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
☆67Mar 7, 2024Updated 2 years ago
Alternatives and similar repositories for CTL
Users that are interested in CTL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.☆22Nov 9, 2016Updated 9 years ago
- Causal Inference☆11May 25, 2020Updated 6 years ago
- A Causal Decision Tree algorithm for causality inference with continuous variables☆23Jan 15, 2021Updated 5 years ago
- Implements the Causal Forest algorithm formulated in Athey and Wager (2018).☆74Jun 12, 2020Updated 6 years ago
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,664Updated this week
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A Python Framework for Automatically Evaluating various Uplift Modeling Algorithms to Estimate Individual Treatment Effects☆23Aug 14, 2023Updated 2 years ago
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆132Mar 24, 2023Updated 3 years ago
- A sensitivity analysis package for causal effects☆12Mar 18, 2024Updated 2 years ago
- ☆296Apr 3, 2022Updated 4 years ago
- Tools to derive and apply corrections based on quantile mapping☆12Mar 15, 2018Updated 8 years ago
- Reinforcement Learning for Uplift Modeling☆13Mar 13, 2021Updated 5 years ago
- Fit Sparse Synthetic Control Models in Python☆90Mar 26, 2024Updated 2 years ago
- Generalized Random Forests☆1,089Apr 30, 2026Updated last month
- ☆41Jul 28, 2021Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Accelerated array computing and code transformations for R☆65Jun 4, 2026Updated last week
- Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆29May 24, 2024Updated 2 years ago
- Bias correction method using quantile mapping☆15Dec 10, 2023Updated 2 years ago
- This tutorial will introduce key concepts in machine learning-based causal inference. This tutorial is used by professor Susan Athey in t…☆14Jul 21, 2023Updated 2 years ago
- Counterfactual Regression☆25Jul 12, 2016Updated 9 years ago
- Bayesian Causal Forests☆53May 15, 2024Updated 2 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Mar 24, 2023Updated 3 years ago
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,350Jan 8, 2022Updated 4 years ago
- Template repository for research papers.☆119Nov 2, 2022Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Datasets for Causal-Structure-Learning Repo☆15Apr 22, 2020Updated 6 years ago
- An index of algorithms for learning causality with data☆3,269Jan 22, 2025Updated last year
- Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression disconti…☆18Mar 6, 2024Updated 2 years ago
- ☆24Aug 19, 2020Updated 5 years ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆353Oct 17, 2024Updated last year
- code to replicate "Investment, Emissions, and Reliability in Electricity Markets," by Jonathan Elliott☆11Jul 31, 2025Updated 10 months ago
- ☆35Sep 29, 2018Updated 7 years 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 …☆18May 5, 2023Updated 3 years ago
- R package cfcausal☆32Dec 6, 2022Updated 3 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- 多维监控异常根因分析，复现论文ISSRE 2019 REG paper 'Generic and Robust Localization of Multi-Dimensional Root Cause'.☆52Dec 8, 2022Updated 3 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆160Jun 17, 2021Updated 4 years ago
- Uplift modeling and causal inference with machine learning algorithms☆5,870Updated this week
- ☆16Oct 9, 2025Updated 8 months ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆158Jun 22, 2024Updated last year
- Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica…☆30Jan 8, 2021Updated 5 years ago
- Causal Inference Using Quasi-Experimental Methods☆21Jan 15, 2021Updated 5 years ago