clinicalml / cfrnet
Counterfactual Regression
☆298Updated 2 years ago
Alternatives and similar repositories for cfrnet:
Users that are interested in cfrnet are comparing it to the libraries listed below
- Causal Effect Inference with Deep Latent-Variable Models☆328Updated 4 years ago
- ☆253Updated 2 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆131Updated 6 months ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆86Updated last year
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆125Updated last year
- ☆58Updated 2 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆155Updated 3 years ago
- DAGs with NO TEARS: Continuous Optimization for Structure Learning☆612Updated 8 months ago
- ☆204Updated last year
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆58Updated 4 years ago
- A data index for learning causality.☆448Updated last year
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆71Updated 2 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆81Updated 6 years ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆306Updated 3 months ago
- Counterfactual Regression☆23Updated 8 years ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,145Updated 9 months ago
- Python package for causal discovery based on LiNGAM.☆397Updated 2 weeks ago
- Non-parametrics for Causal Inference☆43Updated 2 years ago
- CPDAG Estimation using PC-Algorithm☆93Updated 2 years ago
- Some notes on Causal Inference, with examples in python☆149Updated 4 years ago
- Example causal datasets with consistent formatting and ground truth☆76Updated last year
- Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"☆98Updated 5 years ago
- Causal Inference in Python☆553Updated 4 years ago
- ☆87Updated 4 years ago
- Reimplementation of NOTEARS in Tensorflow☆33Updated last year
- ☆40Updated 5 years ago
- Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"☆20Updated last year
- Must-read papers and resources related to causal inference and machine (deep) learning☆689Updated 2 years ago
- Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica…☆28Updated 4 years ago
- ☆18Updated 2 years ago