🧬 Revolutionary framework that uses Large Language Models to automatically design Large Neighborhood Search operators for combinatorial optimization. Through synergy-aware co-evolution of destroy and repair operators, achieves near-optimal solutions with reduced computational budgets on TSP and CVRP benchmarks.
🧬 Revolutionary LLM-guided framework for automated algorithmic discovery in gravitational wave detection. Combines evolutionary optimization with Monte Carlo Tree Search to achieve 20.2% improvement over domain-specific methods and 59.1% over LLM-based optimization frameworks on MLGWSC-1 benchmark.
🌊 AI-powered gravitational wave detection system using Model Context Protocol (MCP) for efficient parameter space exploration. Features optimization client, analysis server, and automated parameter exploration for LIGO GW150914 data with LLM-agent validation.
Gravitational Wave Data Exploration: A Practical Training in Programming and Analysis
A list of _general_ and nice review articles, chapters, tutorials, blog posts and sort of materials related to Gravitational Waves Astronomy.
PyTorch 深度学习实战课程材料，原为万门大学录制（2021年），聚焦PyTorch框架，重实践、轻理论，适合具备基础Python知识的学习者。
All I need to know on "*data analysis in gravitational-wave science*".
A survey on gravitational waves researches using machine learning techniques. (a brand-new verion is on going...)
Title: Research on Data Analysis of Deep Learning in Gravitational Wave Detection.
Collection & learning notes on CS231n course.