PrathamLearnsToCode/paper2code

Registry

Summary

Paper2Code is a Claude Skill that transforms any arXiv research paper into a working code implementation. It automates the process of reading, understanding, and coding from academic papers, enabling rapid prototyping and experimentation.

Key features

• Directly processes arXiv papers to generate implementations
• Works as a Claude Code agent skill for seamless integration
• Automates code generation from academic research
• Supports rapid prototyping and experimentation

Use cases

• Reproducing research results from arXiv papers
• Quickly prototyping new algorithms described in papers
• Learning complex concepts by generating working code
• Accelerating research workflows with automated coding

README excerpt

# paper2code > **arxiv URL in → citation-anchored implementation out** ``` ┌─────────────────────────────┐ ┌──────────────────────────────────────┐ │ │ │ {paper_slug}/ │ │ /paper2code │ │ ├── README.md │ │ https://arxiv.org/abs/ │ ───▶ │ ├── REPRODUCTION_NOTES.md │ │ 1706.03762 │ │ ├── requirements.txt │ │ │ │ ├── src/ │ │ │ │ │ ├── model.py # §3.2 cited │ │ │ │ │ ├── loss.py # §3.4 cited │ │ │ │ │ ├── train.py # §4.1 cited │ │ │ │ │ ├── data.py │ │ │ │ │ ├── evaluate.py │ │ │ │ │ └── utils.py │ │ │ │ ├── configs/ │ │ │ │ │ └── base.yaml # all params │ │ │ │ └── notebooks/ │ │ │ │ └── walkthrough.ipynb │ └─────────────────────────────┘ └──────────────────────────────────────┘ ``` *[placeholder: animated GIF showing the full pipeline — paper fetch → parsing → ambiguity audit → code generation → walkthrough notebook]* --- ## Why this exists **The problem:** ML papers are vague. Critical hyperparameters are buried in appendices or omitted entirely. Prose contradicts equations. "Standard settings" refers to nothing specific.

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