OpenTrain AI
Researcher Tools

Go from paper to working code

Search by keyword, paper title, arXiv ID, DOI, or URL. We return matching papers so you can click into the right page.

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What you get

Everything you need to go from paper to code

Paper2Code aggregates implementation artifacts, reproducibility signals, and research context for over 10,000 papers so you can spend less time searching and more time building.

Ranked Implementations

Find the most reliable GitHub repo for any paper. We score and rank by maintenance, stars, CI, licenses, and official authorship.

Hugging Face Artifacts

Direct links to models, datasets, and demo spaces associated with each paper, curated for relevance and quality.

Reproducibility Signals

Dependency manifests, Docker files, CI pipelines, and license data scored into a reproducibility verdict: Strong, Moderate, or Limited.

Research Context

Citation counts, influential citations, related papers, and semantic task/method/domain classification from the research graph.

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Featured Papers

High-signal implementation pages from the current Paper2Code snapshot.

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Snapshot refreshed: Apr 4, 2026

Find the code behind any paper

Search over 10,000 papers by keyword, arXiv ID, DOI, or title. Every page shows ranked implementations, reproducibility signals, and Hugging Face artifacts.