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: edge-tts

英文目录

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

83K
Stars
87/100
信任
分类: agent-frameworks审计

1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

59K
Stars
87/100
信任
分类: media-automation审计
MNN88

MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.

16K
Stars
88/100
信任
分类: ml-automation审计

Cross-platform, customizable ML solutions for live and streaming media.

36K
Stars
82/100
信任
分类: ml-automation审计

VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning

31K
Stars
87/100
信任
分类: media-automation审计

WasmEdge is a lightweight, high-performance, and extensible WebAssembly runtime for cloud native, edge, and decentralized applications. It powers serverless apps, embedded functions, microservices, smart contracts, and IoT devices.

11K
Stars
86/100
信任
分类: devops审计

Dapr is a portable runtime for building distributed applications across cloud and edge, combining event-driven architecture with workflow orchestration.

26K
Stars
87/100
信任
分类: devops审计

An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System

21K
Stars
77/100
信任
分类: media-automation审计

KubeSphere is a comprehensive container platform designed for managing Kubernetes across multi-cloud, datacenter, and edge environments.

17K
Stars
77/100
信任
分类: utility审计

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.

13K
Stars
87/100
信任
分类: media-automation审计

Lightning-Fast, On-Device, Multilingual TTS — running natively via ONNX.

12K
Stars
81/100
信任
分类: media-automation审计