paper2code
CommunityResearch papers to runnable code.
Education & Research#code generation#mlops#arxiv#algorithm extraction#paper implementation#research reproduction
Authorjdnichollsc
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the complex and time-consuming process of converting research papers into executable code, enabling faster reproduction and development.
Core Features & Use Cases
- End-to-End Pipeline: Orchestrates a multi-phase process from paper acquisition to fully runnable code.
- Reproducible Code Generation: Generates code that aims to reproduce the paper's results accurately.
- Use Case: A researcher wants to implement a novel algorithm from a recent arXiv paper. They provide the paper's URL, and the Skill generates the Python codebase, including algorithms, models, training loops, and experiment scripts.
Quick Start
Use the paper2code skill to implement the paper located at https://arxiv.org/abs/2301.12345.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: paper2code Download link: https://github.com/jdnichollsc/google-nvidia-learn/archive/main.zip#paper2code Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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