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.

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.

End-to-end AI deployment decision system combining real model benchmarking, system-level optimization, and infrastructure-aware trade-off analysis (latency, cost, energy, carbon).

Multi-objective computational discovery engine for Li-ion cathode materials | ML + Pareto optimization + 8-layer scoring | Materials Project API

Magnetic design workflow tool for Buck / Boost / Forward / Interleaved Buck inductors with core-winding co-optimization, Pareto comparison, offline database, and multi-loss analysis.

Constraint-first hardware design decision tool with feasibility filtering, Pareto analysis, and sensitivity-aware recommendations (Streamlit)

Context-aware Pareto optimization framework for modeling trade-offs and decision-making in data pipelines and AI systems

Multi-objective architecture search for non-hardcoded agent pipelines

Entorno de cálculo en Python para la simulación y optimización multiobjetivo (Pareto) de monocromadores multicapa de rayos X mediante el formalismo de Parratt.

GB10/DGX Spark hardware-aware fork: UMA-safe expert eviction, /proc/meminfo EMV memory tracking, PSI-based swap pressure detection for out-of-core MoE on unified memory platforms

Local MLOps tool tracking experiment cost vs accuracy tradeoffs Pareto optimization, MLflow + Optuna, dual Streamlit/React dashboards

High-performance NSGA-II multi-objective evolutionary algorithm in Rust.

Resource-aware AutoML for lightweight model generation using multi-objective optimization (NSGA-II + meta-learning).

AI-guided optimization of MIP/CIP polymer film synthesis using physics-informed data generation, ML surrogates (RF/MLP/GP), Latin Hypercube screening, and multi-objective Pareto optimization. Target: JOM 2026.

PARETTO PROMPT ENHANCE (GEPARETO) - Optimize prompts, code, and more with AI-powered Reflective Text Evolution

AI + Optimization · online-learning evolutionary algorithm for dynamic constrained optimization · NWPU 西北工业大学 graduation research