Dicklesworthstone/model_guided_research
Systematic investigation of 11 exotic math frameworks (Lie groups, tropical algebra, p-adic numbers, etc.) applied to deep learning, with dual JAX and PyTorch implementations
This project offers a practical toolkit for AI researchers and practitioners to explore and implement advanced mathematical concepts in deep learning. It provides both interactive demonstrations of 11 exotic mathematical frameworks and production-ready implementations within a unified GPT model. You can experiment with inputs and observe how these different mathematical approaches influence AI model behavior.
101 stars.
Use this if you are a deep learning researcher or practitioner interested in systematically evaluating how cutting-edge, non-traditional mathematical structures can enhance or transform neural network architectures, especially for transformer models.
Not ideal if you are looking for a plug-and-play solution for a common machine learning task without delving into the underlying mathematical principles or conducting comparative research.
Stars
101
Forks
14
Language
Python
License
—
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
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