clinicalml / cfrnet
Counterfactual Regression
☆306Updated 2 years ago
Alternatives and similar repositories for cfrnet:
Users that are interested in cfrnet are comparing it to the libraries listed below
- ☆267Updated 3 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆137Updated 10 months ago
- Causal Effect Inference with Deep Latent-Variable Models☆337Updated 4 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆87Updated 2 years ago
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆128Updated 2 years ago
- ☆58Updated 3 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆156Updated 3 years ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆60Updated 5 years ago
- A data index for learning causality.☆465Updated last year
- ☆205Updated 2 years ago
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆77Updated 2 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆83Updated 6 years ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆320Updated 6 months ago
- Counterfactual Regression☆23Updated 8 years ago
- ☆44Updated 6 years ago
- Non-parametrics for Causal Inference☆45Updated 3 years ago
- ☆87Updated 5 years ago
- CPDAG Estimation using PC-Algorithm☆96Updated 3 years ago
- Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"☆24Updated 2 years ago
- DAGs with NO TEARS: Continuous Optimization for Structure Learning☆624Updated 11 months ago
- ☆19Updated 3 years ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆706Updated 2 years ago
- ☆33Updated 2 years ago
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆63Updated last year
- EconML/CausalML KDD 2021 Tutorial☆161Updated last year
- BITES: Balanced Individual Treatment Effect for Survival data☆18Updated last year
- Some notes on Causal Inference, with examples in python☆154Updated 5 years ago
- Causal Inference in Python☆568Updated 4 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated 2 years ago
- Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search…☆57Updated 2 months ago