claudiashi57 / dragonnetView external linksLinks
☆290Apr 3, 2022Updated 3 years ago
Alternatives and similar repositories for dragonnet
Users that are interested in dragonnet are comparing it to the libraries listed below
Sorting:
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆67Apr 25, 2020Updated 5 years ago
- Counterfactual Regression☆319Dec 7, 2022Updated 3 years ago
- ☆59Mar 24, 2022Updated 3 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Mar 24, 2023Updated 2 years ago
- pytorch implementation of dragonnet☆47Sep 29, 2022Updated 3 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆94Mar 24, 2023Updated 2 years ago
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆93Sep 11, 2022Updated 3 years ago
- An index of algorithms for learning causality with data☆3,242Jan 22, 2025Updated last year
- Implementation of Johansson, Fredrik D., Shalit, Uri, and Sontag, David. Learning representations for counterfactual inference - ICML, 20…☆12Sep 30, 2020Updated 5 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆154Jun 22, 2024Updated last year
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆346Oct 17, 2024Updated last year
- Uplift modeling and causal inference with machine learning algorithms☆5,731Updated this week
- Python package that provides a suite of modeling & causal inference methods using machine learning algorithms based on Elevance Health re…☆14Aug 1, 2023Updated 2 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆84May 23, 2018Updated 7 years ago
- Implementation of paper Long-Term Effect Estimation with Surrogate Representation☆14Oct 20, 2020Updated 5 years ago
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆107Dec 27, 2023Updated 2 years ago
- Tensorflow 2 implementation of Causal-BERT☆74Nov 5, 2023Updated 2 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆161Jun 17, 2021Updated 4 years ago
- BITES: Balanced Individual Treatment Effect for Survival data☆19Jul 24, 2023Updated 2 years ago
- A data index for learning causality.☆484Oct 25, 2023Updated 2 years ago
- Causal Effect Inference with Deep Latent-Variable Models☆354Jul 17, 2020Updated 5 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆78Jul 8, 2021Updated 4 years ago
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,504Updated this week
- Counterfactual Regression☆25Jul 12, 2016Updated 9 years ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆750Nov 23, 2022Updated 3 years ago
- Causal Simulations for Uplift Modeling☆12Jan 22, 2020Updated 6 years ago
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆67Mar 7, 2024Updated last year
- uplift modeling in scikit-learn style in python☆794Oct 21, 2023Updated 2 years ago
- Software and data for "Using Text Embeddings for Causal Inference"☆126Sep 23, 2020Updated 5 years ago
- 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 Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆42Apr 26, 2022Updated 3 years ago
- A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.☆281Jan 5, 2026Updated last month
- Reproducing Shalit et al.'s Individual Treatment Effect model. This is a deep neural net that can be applied to various problems in causa…☆19May 22, 2022Updated 3 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆86Mar 29, 2021Updated 4 years ago
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆57Feb 24, 2023Updated 2 years ago
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆120Apr 10, 2021Updated 4 years ago
- Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. …☆52Jan 7, 2021Updated 5 years ago
- Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…☆13Jun 14, 2022Updated 3 years ago
- Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"☆180Aug 13, 2024Updated last year