Meta 的生成式 AI 应用标准化接口与参考实现。
🛠️ Frameworks et SDK
LangChain, LlamaIndex, DSPy et autres frameworks pour créer des applications LLM
Tout 1040🧠 Grands modèles de langage 24🤖 Agents IA 159🧩 Plateformes de développement d’applications 23📚 RAG et bases de connaissances 47💬 Interfaces de chat et clients 41🖥️ Inférence et déploiement en local 87👨💻 Programmation assistée par IA 97🛠️ Frameworks et SDK 46🔌 MCP et écosystème d’outils 36🎨 Génération d’images 26🎬 Génération de vidéo 17🎙️ Voix et audio 45👁️ Vision par ordinateur 26📄 Analyse de documents et scraping 25🗄️ Bases de données vectorielles 25🏋️ Entraînement, fine-tuning et MLOps 71🧪 Évaluation, observabilité et sécurité 79🚪 Passerelles et proxys d’API 12🔎 Recherche et deep research 16⚙️ Bibliothèques de deep learning 57🏷️ Données et annotation 32🔬 IA pour l’industrie et la science 33⚡ Outils de productivité 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