A scalable multi-node asynchronous implementation of DeepMind’s FunSearch using RabbitMQ.
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Updated
Mar 25, 2026 - Python
A scalable multi-node asynchronous implementation of DeepMind’s FunSearch using RabbitMQ.
A Python package for Large Language Model-Based Automatic Heuristic Design
An LLM rewrites your code, a fast Rust scorer grades it on held-out data, the best survives — thousands of iterations a night. Runs as a flat-fee Claude Code session, not a metered Anthropic API loop.
Finding better kubernetes schedulers using funsearch with an accelerated simulator
Companion page for "Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery." A curated four-axis index covering MWPs, LLMs and reasoning models, multimodal geometry, Lean theorem proving, and verified discovery (FunSearch, AlphaEvolve, Erdős problems).
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