NEBULA_Light Agnuxo1 · COMPLETED
NEBULA (Neural Electromagnetic Beam-tracing for Universal Learning Architecture) represents a revolutionary approach to medical AI that replaces conventional deep learning with physics-based electromagnetic simulation. This collection provides pre-trained models for various medical imaging tasks, all grounded in fundamental physics principles.
github.com/Agnuxo1/NEBULA_Light · ★ 5 · Forks 0 · Size 6.7 MB
SUMMARY
Technologies 5
Scored 5
Observed 5
Practices 6
Evidence 5
Skips 0
COVERAGE
Analyzed 12 files · 2 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
2 files · PRODUCTION
Python LANGUAGE Depth 70
7 files · PRODUCTION
NumPy LIBRARY Depth 70
7 files · PRODUCTION
TypeScript LANGUAGE Depth 58
2 files · PRODUCTION
pandas LIBRARY Depth 70
6 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-09-05
Last commit 2025-09-05
Active months 1
Commits 2