Popular GitHub Repositories for Javascript Data Grid

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.

Deep Learning for humans

A natural language interface for computers

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.

? Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.

LlamaIndex is the leading framework for building LLM-powered agents over your data.

Drag & drop UI to build your customized LLM flow

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。

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Making large AI models cheaper, faster and more accessible

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Build and share delightful machine learning apps, all in Python. ? Star to support our work!

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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. ?

AI's query engine - Platform for building AI that can learn and answer questions over large scale federated data.

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

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