Shypd.aiThe largest open index of AI toolscausal-ml is a curated list of must-read papers and resources focused on causal inference and machine learning. It serves as a central repository for researchers and practitioners in the field.
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causal-ml provides a comprehensive, curated list of essential papers and resources for anyone interested in the intersection of causal inference and machine learning. This repository is designed to be a central hub for researchers and practitioners, offering valuable materials across various sub-topics. The collection includes resources on surveys, individual treatment effects, representation learning, and policy learning. Inspired by similar successful projects like GNNpapers, causal-ml also encourages community contributions to keep the list updated and expansive.
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