Osier-Yi / SITELinks
☆59Updated 3 years ago
Alternatives and similar repositories for SITE
Users that are interested in SITE are comparing it to the libraries listed below
Sorting:
- Counterfactual Regression☆25Updated 9 years ago
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆131Updated 2 years ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆65Updated 5 years ago
- ☆45Updated 6 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆92Updated 2 years ago
- Counterfactual Regression☆316Updated 2 years ago
- ☆287Updated 3 years ago
- Causal Inference☆11Updated 5 years ago
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆91Updated 3 years ago
- Code for TEDVAE, a VAE-based treatment effect estimation algorithm.☆25Updated 3 years ago
- Causal Effect Inference with Deep Latent-Variable Models☆354Updated 5 years ago
- ☆35Updated 2 months ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆77Updated 4 years ago
- Implementation of Johansson, Fredrik D., Shalit, Uri, and Sontag, David. Learning representations for counterfactual inference - ICML, 20…☆12Updated 5 years ago
- ☆31Updated 3 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆151Updated last year
- ☆26Updated 3 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
- ☆97Updated 2 years ago
- ☆40Updated 6 years ago
- BITES: Balanced Individual Treatment Effect for Survival data☆18Updated 2 years ago
- ☆22Updated last month
- On the Role of Sparsity and DAG Constraints for Learning Linear DAGs☆34Updated 4 years ago
- Reimplementation of NOTEARS in Tensorflow☆33Updated 2 years ago
- 把因果思维融入机器学习中☆81Updated 5 years ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆32Updated 6 years ago
- Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)☆50Updated 6 years ago
- Reproducing Shalit et al.'s Individual Treatment Effect model. This is a deep neural net that can be applied to various problems in causa…☆18Updated 3 years ago
- Experiments codes for RecSys '21 paper "Mitigating Confounding Bias in Recommendation via Information Bottleneck"☆19Updated 3 years ago
- CPDAG Estimation using PC-Algorithm☆95Updated 3 years ago