Popular GitHub Repositories for React Book

? Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

Drag & drop UI to build your customized LLM flow

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.

Enhancing code comprehension with AI-driven explanations and a secure code snippet repository.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.

《机器学习》（西瓜书）公式详解

React UI + elegant infrastructure for AI Copilots, AI chatbots, and in-app AI agents. The Agentic last-mile ?

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

A full-featured, hackable Next.js AI chatbot built by Vercel

DocsGPT is an open-source genAI tool that helps users get reliable answers from knowledge source, while avoiding hallucinations. It enables private and reliable information retrieval, with tooling and agentic system capability built in.

A rich-text editor powered by AI

Machine Learning Engineering Open Book

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

The "Python Machine Learning (1st edition)" book code repository and info resource

✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."