An evolutionary computation framework to (automatically) build fast parallel stochastic optimization solvers
SHYRS: A proof of concept for specifying how humans solve ARC-AGI-2 puzzles
Achieve near-perfect ARC-AGI-2 benchmark results with reproducible code focused on solving complex AI reasoning tasks efficiently.
An evolutionary computation framework to (automatically) build fast parallel stochastic optimization solvers
Modification of Gecode v5 kernel to support counting base search heuristics
High-performance Pathfinding Engine & PWA. Features a "Shift-Left" DevOps architecture with automated ESLint v10 verification, Trivy security auditing, and Node 22 LTS containerization. Benchmarks search heuristics (A, IDA, Dijkstra) with real-time complexity analysis and 60FPS DOM-optimized rendering.
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