anthem-ai / bcaussLinks
Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"
☆24Updated 2 years ago
Alternatives and similar repositories for bcauss
Users that are interested in bcauss are comparing it to the libraries listed below
Sorting:
- ☆277Updated 3 years ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆335Updated 10 months ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆143Updated last year
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆90Updated 2 years ago
- Counterfactual Regression☆313Updated 2 years ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆734Updated 2 years ago
- Counterfactual Regression☆25Updated 9 years ago
- pytorch implementation of dragonnet☆44Updated 2 years ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆62Updated 5 years ago
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆85Updated 2 years ago
- ☆59Updated 3 years ago
- ☆45Updated 6 years ago
- A data index for learning causality.☆475Updated last year
- BITES: Balanced Individual Treatment Effect for Survival data☆18Updated 2 years ago
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆129Updated 2 years ago
- Code accompanying the paper "Empirical analysis of model selection for heterogeneous causal effect estimation"☆13Updated 7 months ago
- EconML/CausalML KDD 2021 Tutorial☆162Updated 2 years ago
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆96Updated last year
- ☆35Updated 3 years ago
- Causality with machine learning, topic including causal represenation learning, causal reinforcement learning☆11Updated 4 years ago
- Causal Effect Inference with Deep Latent-Variable Models☆344Updated 5 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆84Updated 7 years ago
- ☆21Updated 3 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
- Implementation of Johansson, Fredrik D., Shalit, Uri, and Sontag, David. Learning representations for counterfactual inference - ICML, 20…☆12Updated 4 years ago
- We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NU…☆518Updated 2 years ago
- Code for TEDVAE, a VAE-based treatment effect estimation algorithm.☆25Updated 2 years ago
- DAGs with NO TEARS: Continuous Optimization for Structure Learning☆644Updated last year
- Trustworthy AI related projects☆1,066Updated 2 weeks ago
- Example causal datasets with consistent formatting and ground truth☆87Updated 4 months ago