Popular GitHub Repositories for Gitbook Doc

The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.

Template for building your own custom ChatGPT style doc search powered by Next.js, OpenAI, and Supabase.

An intelligent assistant serving the entire software development lifecycle, powered by a Multi-Agent Framework, working with DevOps Toolkits, Code&Doc Repo RAG, etc.

Extract and convert data from any document, images, pdfs, word doc, ppt or URL into multiple formats (Markdown, JSON, CSV, HTML) with intelligent structured data extraction and advanced OCR.

深度学习工程师生存指南

《Reinforcement Learning: An Introduction》（第二版）中文翻译

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

:page_facing_up: A PyTorch implementation of Paragraph Vectors (doc2vec).

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

Starter App to Build Your Own App to Query Doc Collections with Large Language Models (LLMs) using LlamaIndex, Langchain, OpenAI and more (MIT Licensed)

Fast, comprehensive DNS performance testing with DNSSEC validation, DoH/DoT support, and enterprise features

A python wrapper for the Doc2X API and comes with native texts processing (to improve PDF recall in RAG). | Doc2X API的python封装，同时附带本地的文本处理(提升PDF在RAG中的召回率)。

?Translate Files into Any Languages with AI

Semantic code searcher and codebase utility with AI memory onboard

支持查询主流agent框架技术文档的MCP server（支持stdio和sse两种传输协议）, 支持 langchain、llama-index、autogen、agno、openai-agents-sdk、mcp-doc、camel-ai 和 crew-ai

DeepSeek Chat UI, Build your own deepseek service through the API of public cloud vendors。支持上下文、历史会话、联网搜索、TXT/DOC/PDF文件上传、用户管理、流式输出。

文档全文翻译器：英文PDF/MD论文 → (PDF Doc2X识别) → 翻译（GPT deepseek ollama google deepL deepLX）→ 中文文档(Markdown/Word)

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

document embedding and machine learning script for beginners