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awesome-autoresearch

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Curated list of AutoResearch use cases with optimization traces and open source implementations

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README에서

Awesome AutoResearch A curated list of AutoResearch use cases with optimization traces and open source implementations. Every entry includes a link to the actual optimization trajectory so you can see what the agent tried, not just the final result. What is AutoResearch? AutoResearch is, at its core, a prompt. Karpathy released it as a single markdown file - program.md, that instructs a coding agent (Claude Code, Codex, or similar) to follow an optimization workflow. The agent edits one file (train.py, that trains a language model), runs for a fixed 5 minutes on a GPU, checks whether the…

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