技能目录

为 AI Agent 发现可复用技能。

按任务搜索真实的 GitHub 技能,并在使用前查看 Stars、信任、审计、分类和安装路径。

每个推荐都保留与其仓库、审计和安装路径的明确关联。

搜索结果: monte-carlo-ray-tracing

英文目录
Ray87

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

43K
Stars
87/100
信任
分类: ml-automation审计

CNCF Jaeger, a Distributed Tracing Platform

23K
Stars
82/100
信任
分类: devops审计

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

20K
Stars
87/100
信任
分类: development审计

Mastering Ethereum: 2nd Edition, by Andreas M. Antonopoulos, Gavin Wood, Carlo Parisi, Alessandro Mazza, Niccolò Pozzolini

22K
Stars
77/100
信任
分类: web3-analytics审计

Zipkin is a distributed tracing system

17K
Stars
81/100
信任
分类: devops审计

eBPF Observability - Distributed Tracing and Profiling

4.1K
Stars
80/100
信任
分类: devops审计

Distributed tracing without code changes. 🚀 Instantly monitor any application using OpenTelemetry and eBPF

3.7K
Stars
85/100
信任
分类: devops审计

基金投资管理回测引擎

2.6K
Stars
78/100
信任
分类: finance审计

A toolkit to run Ray applications on Kubernetes

2.5K
Stars
80/100
信任
分类: devops审计

highlight.io: The open source, full-stack monitoring platform. Error monitoring, session replay, logging, distributed tracing, and more.

9.3K
Stars
76/100
信任
分类: devops审计

Ray tracing and hybrid rasterization of Gaussian particles

2.3K
Stars
80/100
信任
分类: robotics-iot审计

A Claude Code skill that generates interactive HTML courses from any codebase for non-technical users.

5.2K
Stars
76/100
信任
分类: development审计