发现与 Gravitational Lenses 相关的最受欢迎的开源项目和工具，了解最新的开发趋势和创新。
运用范畴论研究机器学习的论文列表
米兰比可卡大学（意大利）天体物理学理学硕士课程的星体统计学和机器学习课程
一个基于JAX的开源引力波群组推断工具包，用于参数化模型
GIGALens：基于梯度信息、加速GPU的强引力透镜建模软件包，用于快速进行贝叶斯推断。
A Differentiable Interferometer Simulator for the Computational Design of Gravitational Wave Detectors
基于JAX自动微分的引力波分析
引力波信号的产生、去噪、分析和分类。
用于引力波物理研究的深度学习推理即服务工具和流程
An intelligent tweet analysis platform that observes, analyzes, and enhances your social media content through multiple lenses.
Generate synthetic observational datasets from quantum-geometry signatures for LIGO, EHT, and gravitational wave detectors with realistic noise models and instrument specifications
Complete warp signature detection workflow transforming curvature analysis into quantum-geometry signatures, synthetic detector data, and sensitivity comparisons for observational validation
The Code Repo for the first ever scalable AI model for Gravitational Lens Inversion
Developing transformer based self-supervised learning foundation model for learning feature representation of Strong gravitational images. Used Masked Autoencoder
An AI-simulated theoretical model exploring black hole mergers, neutron star responses, and supernova leakage via D-axis gravitational structures. Unified interpretation through mass transfer pathway ruptures.
