Popular GitHub Repositories for Examples Javascript

Examples and guides for using the OpenAI API

A natural language interface for computers

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

Drag & drop UI to build your customized LLM flow

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

下一代 Node.js 和 TypeScript 对象关系映射 (ORM) 工具，支持 PostgreSQL、MySQL、MariaDB、SQL Server、SQLite、MongoDB 和 CockroachDB 数据库。

Opiniated RAG for integrating GenAI in your apps ? Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss. Any Files. Anyway you want.

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. ?

? Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Crawlee—A web scraping and browser automation library for Node.js to build reliable crawlers. In JavaScript and TypeScript. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with Puppeteer, Playwright, Cheerio, JSDOM, and raw HTTP. Both headful and headless mode. With proxy rotation.

A WebGL accelerated JavaScript library for training and deploying ML models.

JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js

State-of-the-art Machine Learning for the web. Run ? Transformers directly in your browser, with no need for a server!

? GPU accelerated Neural networks in JavaScript for Browsers and Node.js

Open deep learning compiler stack for cpu, gpu and specialized accelerators

A powerful tool for creating fine-tuning datasets for LLM

Minimal and clean examples of machine learning algorithms implementations

Example ? Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using ? Amazon SageMaker.

AI Code Completions

Official JavaScript / TypeScript library for the OpenAI API