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: compute-shaders

英文目录

The all-in-one, open-source backend platform for agentic coding. InsForge gives your coding agent database, auth, storage, compute, hosting, and AI gateway to ship full-stack apps end-to-end.

12K
Stars
85/100
信任
分类: agent-frameworks审计
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

Open source alternative to AWS. Elastic compute, block storage (non replicated), firewall and load balancer, managed Postgres, K8s, AI inference, and IAM services.

12K
Stars
85/100
信任
分类: github-automation审计

Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).

10K
Stars
87/100
信任
分类: ml-automation审计

Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.

7.1K
Stars
86/100
信任
分类: data-analysis审计

Kubernetes-based, scale-to-zero, request-driven compute

6.1K
Stars
80/100
信任
分类: devops审计

Low-latency AI engine for mobile devices & wearables

5.3K
Stars
76/100
信任
分类: data审计

The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.

3.2K
Stars
76/100
信任
分类: robotics-iot审计

Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.

3.0K
Stars
83/100
信任
分类: data-analysis审计

A Three.js agent skill pack for generating high-quality 3D graphics, scenes, and games, packaged for AI coding agents like Claude Code, Codex, and Cursor.

530
Stars
84/100
信任
分类: design-creative审计

Compute substrate for AI agents: lightweight enough to live on your laptop, elastic enough to scale into the cloud and unleash unlimited resources.

2.1K
Stars
84/100
信任
分类: agent-frameworks审计

Easily compute clip embeddings and build a clip retrieval system with them

2.8K
Stars
76/100
信任
分类: rag-knowledge审计