Meta 的生成式 AI 应用标准化接口与参考实现。
🛠️ Frameworks y SDK
LangChain, LlamaIndex, DSPy y otros frameworks para crear apps con LLM
Todo 1040🧠 Modelos de lenguaje 24🤖 Agentes de IA 159🧩 Plataformas de desarrollo de apps 23📚 RAG y bases de conocimiento 47💬 Interfaces de chat y clientes 41🖥️ Inferencia y despliegue local 87👨💻 Programación con IA 97🛠️ Frameworks y SDK 46🔌 MCP y ecosistema de herramientas 36🎨 Generación de imágenes 26🎬 Generación de vídeo 17🎙️ Voz y audio 45👁️ Visión por computador 26📄 Análisis de documentos y scraping 25🗄️ Bases de datos vectoriales 25🏋️ Entrenamiento, ajuste fino y MLOps 71🧪 Evaluación, observabilidad y seguridad 79🚪 Pasarelas y proxies de API 12🔎 Búsqueda e investigación profunda 16⚙️ Bibliotecas de aprendizaje profundo 57🏷️ Datos y anotación 32🔬 IA para industria y ciencia 33⚡ Herramientas de productividad 16
Automated Machine Learning with scikit-learn
Flower: A Friendly Federated AI Framework
Open-source framework for building agentic apps in JavaScript, Go, Dart, and Python, built and used in production by Google
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research
The Ruby AI framework.
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-p
Fully customizable AI chatbot component for your website
Cortex - Generates interactive API documentation, typed SDKs, and MCP servers from OpenAPI, AsyncAPI, GraphQL, gRPC, OpenRPC, and Markdown.
A python library for decision tree visualization and model interpretation.
Multi-framework streaming Markdown renderers for AI apps: Vue/Nuxt, React/Next.js, Svelte, and Angular, with Mermaid, KaTeX, stream-diffs code blocks, safe HTML, and low-jitter updates.
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety
Modular Python framework for building AI workflows with memory and tools.
An open-source framework for machine learning and other computations on decentralized data.
Extract structured data and insights from documents using LLMs and decision models
Build LLM-powered applications in Ruby
A neurosymbolic perspective on LLMs
The React library for LLMs
An autoML framework & toolkit for machine learning on graphs.
A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
Automated modeling and machine learning framework FEDOT
Open framework for confidential AI