bgavran/Category_Theory_Machine_Learning
A curated list of academic papers applying category theory to machine learning concepts.
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This repository compiles academic papers that apply categorical mathematics to machine learning problems. It groups papers by subfields such as deep learning architectures, gradient-based learning, and neural network theory. The collection serves as a survey resource for researchers interested in the mathematical foundations of ML through category-theoretic lenses.
Frequently asked
- What is bgavran/Category_Theory_Machine_Learning?
- A curated list of academic papers applying category theory to machine learning concepts.
- Is Category_Theory_Machine_Learning open source?
- Yes — bgavran/Category_Theory_Machine_Learning is an open-source project tracked on heatdrop.
- What language is Category_Theory_Machine_Learning written in?
- bgavran/Category_Theory_Machine_Learning is primarily written in Python.
- How popular is Category_Theory_Machine_Learning?
- bgavran/Category_Theory_Machine_Learning has 1.5k stars on GitHub.
- Where can I find Category_Theory_Machine_Learning?
- bgavran/Category_Theory_Machine_Learning is on GitHub at https://github.com/bgavran/Category_Theory_Machine_Learning.