rguo12/awesome-causality-algorithms
A curated index of algorithms for learning causality with data, covering causal effect estimation, causal discovery, and causal ML toolboxes.
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This repository catalogs algorithms used in machine learning for causal inference, which involves solving causal inference problems from data, and causal machine learning, which applies causal concepts to improve ML models. It links to open-source toolboxes including causal-learn, DoWhy, YLearn, and Trustworthy AI, serving as a reference for practitioners in the causal inference field.
Frequently asked
- What is rguo12/awesome-causality-algorithms?
- A curated index of algorithms for learning causality with data, covering causal effect estimation, causal discovery, and causal ML toolboxes.
- Is awesome-causality-algorithms open source?
- Yes — rguo12/awesome-causality-algorithms is open source, released under the MIT license.
- How popular is awesome-causality-algorithms?
- rguo12/awesome-causality-algorithms has 3.3k stars on GitHub.
- Where can I find awesome-causality-algorithms?
- rguo12/awesome-causality-algorithms is on GitHub at https://github.com/rguo12/awesome-causality-algorithms.