cmu-phil / example-causal-datasetsLinks
Example causal datasets with consistent formatting and ground truth
☆89Updated 5 months ago
Alternatives and similar repositories for example-causal-datasets
Users that are interested in example-causal-datasets are comparing it to the libraries listed below
Sorting:
- Causal discovery algorithms and tools for implementing new ones☆226Updated 2 months ago
- [Experimental] Global causal discovery algorithms☆106Updated last month
- Scalable open-source software to run, develop, and benchmark causal discovery algorithms☆72Updated this week
- ☆30Updated 3 weeks ago
- Makes algorithms/code in Tetrad available in Python via JPype☆83Updated last month
- CSuite: A Suite of Benchmark Datasets for Causality☆75Updated 2 years ago
- A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matr…☆125Updated last year
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆77Updated 4 years ago
- Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search…☆60Updated 6 months ago
- An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)☆62Updated 4 years ago
- Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)☆49Updated 6 years ago
- Repository for "Differentiable Causal Discovery from Interventional Data"☆76Updated 3 years ago
- ☆205Updated 2 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆147Updated last year
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆337Updated 10 months ago
- A curated list of awesome work on causal inference, particularly in machine learning.