Popular GitHub Repositories for Text Speech App

Stable Diffusion web UI

? Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

? Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows

Clone a voice in 5 seconds to generate arbitrary speech in real-time

? ChatGPT Desktop Application (Mac, Windows and Linux)

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

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

The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, and more.

Port of OpenAI's Whisper model in C/C++

?? - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

AI-Powered Photos App for the Decentralized Web ???

A generative speech model for daily dialogue.

?AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

:robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. Features: Generate Text, Audio, Video, Images, Voice Cloning, Distributed, P2P inference

Instant voice cloning by MIT and MyShell. Audio foundation model.

? Industrial-strength Natural Language Processing (NLP) in Python

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image