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AI Agent Skills

Temukan skill untuk tugas berikutnya dengan Codex, Claude Code, Cursor, dan lainnya.

Hasil · “gpu-virtualization”

66 Skills

Hasil: 66

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Runmat

runmat-org

Open-source runtime for math. Write MATLAB syntax, run on CPU + GPU across platforms (Mac/Win/Linux/Web).

Harga belum dikonfirmasiPencarian & risetTinjau sebelum digunakan
226GitHub
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AI & pengetahuan

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Catboost

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python,…

Harga belum dikonfirmasiAI & pengetahuanTinjau sebelum digunakan
9 rbGitHub
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Pengembangan

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Shimmy

Michael-A-Kuykendall

⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.

Harga belum dikonfirmasiPengembanganOpenAI AgentsTinjau sebelum digunakan
5,4 rbGitHub
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DevOps & cloud

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Wgcloud

tianshiyeben

Linux运维监控工具,支持系统硬件信息,内存,CPU,温度,磁盘空间及IO,硬盘smart,GPU,防火墙,网络流量速率等监控,服务接口监测,大屏展示,拓扑图,端口监控,进程监控,docker监控,日志监控,文件防篡改,数据库监控,指令批量下发执行,web ssh,Linux面板(探针),告警,SNMP监测,K8S,Redis,Ngi…

Harga belum dikonfirmasiDevOps & cloudTinjau sebelum digunakan
5,1 rbGitHub
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Browser & otomatisasi

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Diffrax

patrick-kidger

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

Harga belum dikonfirmasiBrowser & otomatisasiTinjau sebelum digunakan
2,1 rbGitHub
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DevOps & cloud

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FedML

FedML-AI

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further e…

Harga belum dikonfirmasiDevOps & cloudTinjau sebelum digunakan
4 rbGitHub
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AI & pengetahuan

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Higgsfield

higgsfield-ai

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

Harga belum dikonfirmasiAI & pengetahuanTinjau sebelum digunakan
3,8 rbGitHub
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AI & pengetahuan

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llmfit-advisor

AlexsJones

Detect local hardware (RAM, CPU, GPU/VRAM) and recommend the best-fit local LLM models with optimal quantization, speed estimates, and fit scoring.

Harga belum dikonfirmasiAI & pengetahuanClaude Code
35,7 rbGitHub
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