List of papers studying machine learning through the lens of category theory
-
Updated
Dec 2, 2025 - Python
List of papers studying machine learning through the lens of category theory
The Python toolkit for computing with string diagrams.
Opycleid - A Python package for transformational music theory
Learning platform for category theory in python
A toolkit for higher-dimensional diagram rewriting.
Functional Python with Typeclasses and Categories
Lattice-preserving ALC ontology embeddings
Self-supervised generative AI enables conversion of two non-overlapping cohorts - Das, S. et. al.
Drafts of textbooks. One on the math inspired by supersymmetric field theories. One on low dimensional (below 3+1) integrable physics.
World First Category Theory Deep Learning Framework
Python implementation of Category Theory
This paper proves a fundamental impossibility theorem for universal complexity measures.
An implementation of MMQL, a multi-model query language I created.
The Golomb Universe
A DSL for describing categories. Language implemented in textX, using an algebra of categories from SymPy.
A composable toolkit for structured document manipulation
Challenges from Category Theory for Programmers
Choosing Meaning-Preserving Embeddings for RAG: From Infinite Banach to Finite Practical Vector Spaces
Loop-TNR with generalized (categorical) symmetries to simulate complex CFTs
Add a description, image, and links to the category-theory topic page so that developers can more easily learn about it.
To associate your repository with the category-theory topic, visit your repo's landing page and select "manage topics."