
🧬 Revolutionary LLM-guided framework for automated algorithmic discovery in gravitational wave detection. Combines evolutionary optimization with Monte Carlo Tree Search to systematically explore algorithm spaces and achieve 20.2% improvement over state-of-the-art methods 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…)
![My Dissertation [zh-CN]](/blog/project/phdthesis_html/featured_hue011f0504455ff0e6505578b78d5f5db_176527_de0170f5b89bc08d2fec99dc55a0eeb2.webp)
Title: Research on Data Analysis of Deep Learning in Gravitational Wave Detection.

Collection & learning notes on CS231n course.