Shypd.aiThe largest open index of AI toolsCategory_Theory_Machine_Learning is an open-source repository that lists papers studying machine learning through the lens of category theory. It serves as a comprehensive resource for researchers and enthusiasts.
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Category_Theory_Machine_Learning is a GitHub repository that curates a list of academic papers exploring the intersection of machine learning and category theory. The repository organizes papers by various fields such as Deep Learning, Equivariance, Graph Neural Networks, Differentiable Programming, Probability Theory, Bayesian/Causal Inference, Topological Data Analysis, and more. It also includes theses and blog posts related to the subject. This resource is designed for researchers, academics, and enthusiasts interested in the theoretical foundations of machine learning, offering a structured overview of relevant publications and encouraging community contributions through pull requests or issue submissions.
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