IBM-HRL-MLHLS / IBM-Causal-Inference-Benchmarking-Framework
Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code
☆82Updated 6 years ago
Alternatives and similar repositories for IBM-Causal-Inference-Benchmarking-Framework:
Users that are interested in IBM-Causal-Inference-Benchmarking-Framework are comparing it to the libraries listed below
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆136Updated 8 months ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆87Updated last year
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆126Updated last year
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆58Updated 4 years ago
- Non-parametrics for Causal Inference☆43Updated 2 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆156Updated 3 years ago
- ☆58Updated 2 years ago
- Code to run submissions for the Atlantic Causal Inference Competition☆42Updated 7 months ago
- ☆262Updated 2 years ago
- An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)☆59Updated 4 years ago
- Counterfactual Regression☆304Updated 2 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆74Updated 3 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆58Updated 11 months ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆71Updated 3 years ago
- ☆87Updated 4 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated last year
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆56Updated 2 years ago
- ☆204Updated last year
- Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica…☆28Updated 4 years ago
- ☆20Updated 2 years ago
- Example causal datasets with consistent formatting and ground truth☆79Updated last year
- ☆37Updated 6 years ago
- ☆32Updated 2 years ago
- Reimplementation of NOTEARS in Tensorflow☆34Updated last year
- Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. …☆52Updated 4 years ago
- Makes algorithms/code in Tetrad available in Python via JPype☆71Updated this week
- Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)☆50Updated 5 years ago
- Counterfactual Regression☆23Updated 8 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆52Updated 4 years ago
- A curated list of awesome work on causal inference, particularly in machine learning.☆100Updated 3 years ago