Last commit on August 5, 2026·Created on August 5, 2026
UditAkhourii/neuroarxiv
“Grounds machine learning architecture decisions in existing arXiv research and prior art.”
Combined rank
#357
across all skills
In Research
#20
category rank
Stars
332
7d change unavailable
Forks
37
Watchers
2
Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of real attention, adoption, and active maintenance.
Description
NeuroArxiv helps AI researchers and engineers validate technical designs by scanning arXiv for existing solutions before implementation begins. It fetches category-specific papers, analyzes them in parallel, and clusters findings to identify state-of-the-art protocols.
The process converges on a single recommended path supported by citations and documented pitfalls, preventing the redundant reconstruction of existing algorithms or systems techniques.
WHO IT'S FOR
ML / AI researchers
grounding new model architectures in prior art
Systems engineers
researching state-of-the-art protocols and techniques
Technical architects
validating design decisions against published research
AI agent power users
automating literature reviews for coding tasks
30 Days of GitHub Stars
332 30d starsMonthly change unavailable
Jul 16Jul 23Jul 30Aug 6Aug 14
Compatibility & Install1 Skill · 1 Compatible agent · 3 categories · 2 install paths
Compatible agents
❯Claude Code
Categories
ResearchSoftware EngineeringAutomation