jhartford / DeepIVLinks
Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
☆159Updated 4 years ago
Alternatives and similar repositories for DeepIV
Users that are interested in DeepIV are comparing it to the libraries listed below
Sorting:
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆84Updated 7 years ago
- Some notes on Causal Inference, with examples in python☆154Updated 5 years ago
- ☆87Updated 5 years ago
- Causal Effect Inference with Deep Latent-Variable Models☆354Updated 5 years ago
- Counterfactual Regression☆314Updated 2 years ago
- Resources related to causality☆266Updated last year
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆150Updated last year
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆91Updated 2 years ago
- Non-parametrics for Causal Inference☆50Updated 3 years ago
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆57Updated 2 years ago
- A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.☆22Updated 9 years ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆340Updated last year
- ☆205Updated 2 years ago
- Causal Inference in Python☆573Updated 4 months ago
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆130Updated 2 years ago
- A curated list of awesome work on causal inference, particularly in machine learning.☆109Updated 4 years ago
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆67Updated last year
- A data index for learning causality.☆480Updated 2 years ago
- Implements the Causal Forest algorithm formulated in Athey and Wager (2018).☆69Updated 5 years ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆65Updated 5 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated 2 years ago
- Working repository for Causal Tree and extensions☆447Updated 7 months ago
- ☆81Updated 5 years ago
- A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.☆415Updated 5 years ago
- A (concise) curated list of awesome Causal Inference resources.☆244Updated 3 years ago
- EconML/CausalML KDD 2021 Tutorial☆163Updated 2 years ago
- ☆285Updated 3 years ago
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆118Updated 4 years ago
- DEPRECATED. See new generalized random forest package for up-to-date implementation.☆54Updated 8 years ago
- Repository with code and slides for a tutorial on causal inference.☆583Updated 6 years ago