kuiy / CausalFSLinks
An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)
☆62Updated 4 years ago
Alternatives and similar repositories for CausalFS
Users that are interested in CausalFS are comparing it to the libraries listed below
Sorting:
- pyCausalFS:A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification☆70Updated 4 years ago
- An open-source package of causal feature selection and causal (Bayesian network) structure learning (Python version)☆20Updated 4 years ago
- 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
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆62Updated last year
- ☆205Updated 2 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
- Example causal datasets with consistent formatting and ground truth☆94Updated 6 months ago
- CPDAG Estimation using PC-Algorithm☆95Updated 3 years ago
- Scalable open-source software to run, develop, and benchmark causal discovery algorithms☆72Updated this week
- Causal Discovery from Nonstationary/Heterogeneous Data.☆54Updated 5 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆54Updated 4 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆91Updated 2 years ago
- Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions☆11Updated 3 years ago
- Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)☆50Updated 6 years ago
- ☆40Updated 6 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆62Updated last year
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆130Updated 2 years ago
- Source code of AAAI'22 paper: A Hybrid Causal Structure Learning Algorithm for Mixed-type Data☆39Updated 3 years ago
- Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"☆100Updated 6 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆79Updated 4 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆75Updated 4 years ago
- Code for paper: NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge☆27Updated 2 years ago
- Makes algorithms/code in Tetrad available in Python via JPype☆87Updated 3 weeks ago
- TIme series DiscoverY BENCHmark (tidybench)☆38Updated last year
- Python code for NeurIPS 2018 paper "Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models"☆23Updated 6 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
- A generalized score-based method for Causal Discovery☆17Updated 4 years ago
- Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning☆41Updated 8 months ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆63Updated 5 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆148Updated last year