Popular GitHub Repositories for Document Structure Analysis

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.

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 80+ languages.

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

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

Easily train a good VC model with voice data <= 10 mins!

Roadmap to becoming an Artificial Intelligence Expert in 2022

PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译，支持 Google/DeepL/Ollama/OpenAI 等服务，提供 CLI/GUI/Docker/Zotero

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

SoftVC VITS Singing Voice Conversion

State-of-the-art 2D and 3D Face Analysis Project

the AI-native open-source embedding database

? A ranked list of awesome machine learning Python libraries. Updated weekly.

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

Turns Data and AI algorithms into production-ready web applications in no time.

自动构建Docker镜像并上传至阿里云

A toolkit for making real world machine learning and data analysis applications in C++

? Easy-to-use and powerful NLP and LLM library with ? Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including ?Text Classification, ? Neural Search, ? Question Answering, ?? Information Extraction, ? Document Intelligence, ? Sentiment Analysis etc.