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.