arnaud39 / TARNet
TARNet Model with tensorflow 2 API.
☆10Updated 2 years ago
Alternatives and similar repositories for TARNet:
Users that are interested in TARNet are comparing it to the libraries listed below
- Counterfactual Regression☆23Updated 8 years ago
- ☆253Updated 2 years ago
- Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"☆20Updated last year
- BITES: Balanced Individual Treatment Effect for Survival data☆18Updated last year
- Implement PC algorithm in Python | PC 算法的 Python 实现☆117Updated last year
- Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"☆15Updated last year
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆133Updated 7 months ago
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆125Updated last year
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆58Updated 4 years ago
- 4th Year project aiming to implement PC, FCI and RFCI algorithms in python☆14Updated 5 years ago
- Code accompanying the paper "Empirical analysis of model selection for heterogeneous causal effect estimation"☆12Updated this week
- ☆58Updated 2 years ago
- pytorch implementation of dragonnet☆33Updated 2 years ago
- ☆31Updated 2 years ago
- ☆40Updated 5 years ago
- Implementation of Johansson, Fredrik D., Shalit, Uri, and Sontag, David. Learning representations for counterfactual inference - ICML, 20…☆12Updated 4 years ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆309Updated 3 months ago
- Counterfactual Regression☆298Updated 2 years ago
- Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search…☆55Updated 11 months ago
- CPDAG Estimation using PC-Algorithm☆94Updated 2 years ago
- ☆33Updated 3 years ago
- Causal discovery for time series☆90Updated 2 years ago
- EconML/CausalML KDD 2021 Tutorial☆161Updated last year
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆86Updated last year
- ☆23Updated 2 years ago
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆70Updated last year
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆71Updated 2 years ago
- A data index for learning causality.☆450Updated last year
- ☆28Updated 4 months ago
- pyCausalFS:A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification☆66Updated 4 years ago