vdorie / npciLinks
Non-parametrics for Causal Inference
☆48Updated 3 years ago
Alternatives and similar repositories for npci
Users that are interested in npci are comparing it to the libraries listed below
Sorting:
- Code to run submissions for the Atlantic Causal Inference Competition☆42Updated 11 months ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆84Updated 7 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
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆156Updated 4 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆142Updated last year
- Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)☆16Updated 5 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆77Updated 4 years ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆61Updated 5 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆88Updated 2 years ago
- ☆95Updated last year
- ☆22Updated last year
- Example causal datasets with consistent formatting and ground truth☆87Updated 3 months ago
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆112Updated 4 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆59Updated last year
- A curated list of awesome work on causal inference, particularly in machine learning.☆105Updated 4 years ago
- Code for TEDVAE, a VAE-based treatment effect estimation algorithm.☆25Updated 2 years ago
- ☆40Updated 6 years ago
- Scalable open-source software to run, develop, and benchmark causal discovery algorithms☆71Updated 3 weeks ago
- Tools for conformal inference in regression☆246Updated 10 months ago
- Code for "Counterfactual Fairness" (NIPS2017)☆54Updated 6 years ago
- ☆79Updated 4 years ago
- A unified interface for the estimation of causal networks☆22Updated 5 years ago
- Counterfactual Regression☆310Updated 2 years ago
- Bayesian Causal Forests☆47Updated last year
- ☆21Updated 2 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆52Updated 4 years ago
- Short tutorials on the use of machine learning methods for causal inference☆48Updated 2 years ago
- Python package for the creation, manipulation, and learning of Causal DAGs☆152Updated 2 years ago
- Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica…☆30Updated 4 years ago
- ☆11Updated 7 years ago