wanshuiyin/Auto-claude-code-research-in-sleep
ARIS ⚔️ (Auto-Research-In-Sleep) — Claude Code skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation via Codex MCP
This project helps machine learning researchers autonomously develop and refine their academic papers and code. It takes a research problem, an existing paper, or a codebase as input, and outputs improved code, experimental results, and polished academic papers, including rebuttals and presentation materials. ML researchers, especially those working on highly technical papers and code, are the target users.
338 stars.
Use this if you are an ML researcher who wants an AI assistant to handle repetitive research tasks like literature review, code improvement, experiment execution, paper writing, and rebuttal drafting, allowing you to focus on high-level conceptual work.
Not ideal if you prefer to manage every step of your research process manually or if your research domain is outside of machine learning and requires less coding and formal academic paper generation.
Stars
338
Forks
33
Language
—
License
MIT
Category
Last pushed
Mar 13, 2026
Commits (30d)
0
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