Popular GitHub Repositories for Text Generation Using Rnn

Stable Diffusion web UI

Examples and guides for using the OpenAI API

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

CLI platform to experiment with codegen. Precursor to: https://lovable.dev

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)

Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.

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

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

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

12 Weeks, 24 Lessons, AI for All!

利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.

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

Low-code platform for building business applications. Connect to databases, cloud storages, GraphQL, API endpoints, Airtable, Google sheets, OpenAI, etc and build apps using drag and drop application builder. Built using JavaScript/TypeScript. ?

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