Turn Claude Code into its own Meta-Harness — a skill that evolves the scaffolding around a fixed model (memory, retrieval, context, prompts) via a native propose→score→Pareto loop. Native reimplementation of Meta-Harness (Lee et al. 2026).
PRISM: A Multi-Perspective AI Alignment Framework for Ethical AI (Demo: https://app.prismframework.ai | Paper: https://arxiv.org/abs/2503.04740)
Elixir implementation of GEPA: LLM-driven evolutionary optimization using Pareto-efficient search for text-based systems. Features OpenAI/Gemini integration, BEAM concurrency, OTP supervision, 218 tests with 75% coverage.
Official implementation of PARADIGM, a Pareto-optimized database-guided framework for analog IC design, including design space exploration, topology prediction, and parameter tuning.
AI + Optimization · online-learning evolutionary algorithm for dynamic constrained optimization · NWPU 西北工业大学 graduation research
IntelliForm — Open-source Agentic AI platform for sustainable green chemistry formulations. Natural language → RDKit-powered optimization → ChemRich NJ pilot ready. Contributions warmly welcome from chemists, ML engineers & sustainability builders! 🚀 ChemeNova × ChemRich Global
Reasoning-driven optimizer for RAG pipelines: LLM agents diagnose retrieval failures and propose the next config.
An empirical systems and performance study comparing C++20, Rust, Go, Java, and Python across physics-constrained vehicle routing, multi-objective Pareto optimization, and multi-core scalability.
Open-source MATLAB/CasADi framework for time-vibration Pareto optimization of CNC toolpaths with POP control and resonance suppression.
Research-oriented multi-criteria route planner developed as the technical component of a Master's thesis at Poznan University of Technology. The system uses OpenStreetMap and terrain data to generate personalized routes and compare single- and multi-objective graph algorithms.
EnergyPlus retrofit simulation, HC-DeepOnet surrogate modeling, ensemble uncertainty, and robust Pareto optimization.
Challenge: predict the optimal moment to sell a stock for profit. Implemented TSFKNN in Python from scratch on TEZNY daily prices. A Pareto frontier mapped the efficient risk-return trade-off at each forecast step, identifying which days maximise return for a given risk tolerance. Result: MSE 0.06, pinpointing 6 optimal sell days.
SPICE-grounded LLM4EDA workbench for cross-topology, cross-PDK Pareto analog design.
Magnetic design workflow tool for Buck / Boost / Forward / Interleaved Buck inductors with core-winding co-optimization, Pareto comparison, offline database, and multi-loss analysis.
UrbanVibe: SafeRoute - Acoustic-Aware Decision Intelligence Platform & Edge-AI Safeguard for Hearing-Impaired Mobility (MLAI 2026 | TMA Track)
Evolving coding-agent harnesses with NSGA-II Pareto selection on capability (GDPval) and safety (ToolEmu). No trade-off weight picked in advance.
End-to-end AI deployment decision system combining real model benchmarking, system-level optimization, and infrastructure-aware trade-off analysis (latency, cost, energy, carbon).
Entorno de cálculo en Python para la simulación y optimización multiobjetivo (Pareto) de monocromadores multicapa de rayos X mediante el formalismo de Parratt.
Context-aware Pareto optimization framework for modeling trade-offs and decision-making in data pipelines and AI systems
NSGA-II with 1-opt local search (NSGA-II-1opt) for binary multi-objective optimization in pymoo
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