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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

Why this job: works in the areas we cover, but does not say which job it does

What it does

This repository emerged from a remarkable experiment in AI-guided mathematical discovery. What began as Jeffrey Emanuel (@doodlestein) posing a single question to GPT-5 Pro about matrix exponentials and Lie groups evolved into something unprecedented: the AI model itself generated additional mathematical prompts, scored its own ideas, and helped design implementations for revolutionizing machine learning.

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit 11 days ago
Stars
119
+1 this week
Licence
Custom
Read before business use
Downloads for
None listed
No release files
Latest version
None yet
No releases
Built with
Python
98% of the code

Is it looked after?

Contributors
Not stated
Last 90 days
Issues
100% closed
0 still open
Pull requests
1 merged
0 waiting
Releases
None
Never published
  • No contributing guide
  • No security policy
  • No code of conduct

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More: languages, topics and project record

Languages

  • Python 98%
  • HTML 1%
  • Lean 1%
  • Shell <1%

Topics

  • ai
  • deep-learning
  • machine-learning
  • mathematics
  • python
  • research

Project record

  • JobOther AI tools
  • StatusListed
  • Commits598
  • Forks16
  • Watching2
  • Stars in 28 days+2
  • CreatedAug 17, 2025
  • First seen by usNov 7, 2026
  • CheckedNov 8, 2026

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