metaoptimization

The code and methods offered in Awesome-META+: https://wangjingyao07.github.io/Awesome-Meta-Learning-Platform/

Lightweight HyperParameter Optimizer

Autonomous, resumable state machine for continuous ML meta-optimization. Orchestrates background ideation, code materialization, and remote queue execution via specialized subagents.

Leaf worker skill for ml-metaoptimization: analyzes experiment results against baselines and extracts learnings

Leaf worker skill for ml-metaoptimization: ranks proposals and selects the winning experiment

Leaf worker skill for ml-metaoptimization: implements experiment designs as code changes and patch artifacts

One-shot preflight skill for ml-metaoptimization campaigns — validates repo structure, bootstraps .ml-metaopt/ dirs, checks backend readiness

Hiperheurísticas: Aplicación a problemas de asignación de horario y metaoptimización

Leaf worker skill for ml-metaoptimization: designs concrete experiment batch specifications from winning proposals

Leaf worker skill for ml-metaoptimization: generates non-overlapping experiment proposals during the ideation phase

Leaf worker skill for ml-metaoptimization: filters and curates the proposal pool during iteration rollover

Leaf worker skill for ml-metaoptimization: diagnoses failures during sanity checks and remote execution