ioanabica / SCIGANLinks
Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica, J. Jordon, M. van der Schaar
β30Updated 4 years ago
Alternatives and similar repositories for SCIGAN
Users that are interested in SCIGAN are comparing it to the libraries listed below
Sorting:
- ππ Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatmβ¦β92Updated 2 years ago
- β40Updated 6 years ago
- Code for TEDVAE, a VAE-based treatment effect estimation algorithm.β24Updated 2 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.β76Updated 4 years ago
- ββ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.β130Updated 2 years ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018β65Updated 5 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring codeβ84Updated 7 years ago
- Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. β¦β52Updated 4 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.β150Updated last year
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop aβ¦β62Updated last year
- TIme series DiscoverY BENCHmark (tidybench)β38Updated last year
- Causal inference is a critical task in various fields such as healthcare,economics, marketing and education. Recently, there have beensigβ¦β21Updated 4 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. Bβ¦β65Updated last year
- Causal Inferenceβ11Updated 5 years ago
- An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)β64Updated 5 years ago
- Non-parametrics for Causal Inferenceβ50Updated 3 years ago
- BITES: Balanced Individual Treatment Effect for Survival dataβ18Updated 2 years ago
- β45Updated 6 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)β54Updated 4 years ago
- β97Updated 2 years ago
- Counterfactual Regressionβ316Updated 2 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed causβ¦β80Updated 4 years ago
- β35Updated 2 months ago
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effeβ¦β90Updated 3 years ago
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"β57Updated 2 years ago
- β316Updated 3 years ago
- β30Updated last year
- Causal Discovery from Nonstationary/Heterogeneous Data.β54Updated 5 years ago
- A curated list of awesome work on causal inference, particularly in machine learning.β110Updated 4 years ago
- β59Updated 3 years ago