A categorical algebra for deep learning that formalizes broadcasting via axis-stride and array-broadcasted categories and supplies matching Python and TypeScript implementations.
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Metacat is a new categorical model for formal systems using spans in cartesian PROPs to encode inference rules and symmetric monoidal categories for proofs, with a proof-checking implementation for FOL.
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Metacat: a categorical framework for formal systems
Metacat is a new categorical model for formal systems using spans in cartesian PROPs to encode inference rules and symmetric monoidal categories for proofs, with a proof-checking implementation for FOL.