👑 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, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.

A collection of original, innovative ideas and algorithms towards Advanced Literate Machinery. This project is maintained by the OCR Team in the Language Technology Lab, Tongyi Lab, Alibaba Group.

A curated list of resources for Document Understanding (DU) topic

AI-in-a-Box leverages the expertise of Microsoft across the globe to develop and provide AI and ML solutions to the technical community. Our intent is to present a curated collection of solution accelerators that can help engineers establish their AI/ML environments and solutions rapidly and with minimal friction.

ExtractThinker is a Document Intelligence library for LLMs, offering ORM-style interaction for flexible and powerful document workflows.

ReadingBank: A Benchmark Dataset for Reading Order Detection

This sample demonstrates how to use Document Intelligence's Layout model to convert a PDF document, such as invoices, into Markdown, then use GPT-3.5 Turbo to extract structured JSON data using the Azure OpenAI Service.

BoundaryNet - A Semi-Automatic Layout Annotation Tool

The Doc Intelligence in-a-Box project leverages Azure AI Document Intelligence to extract data from PDF forms and store the data in a Azure Cosmos DB. This solution, part of the AI-in-a-Box framework by Microsoft Customer Engineers and Architects, ensures quality, efficiency, and rapid deployment of AI and ML solutions across various industries.

An experiment to provide the capabilities of Azure AI Document Intelligence Studio template training for feedback loop

A collection of solutions that leverage Azure AI services.

A Hackathon project for shipping copilots. The goal of the app is to upload a packing slip document using Azure AI, send the image to an Azure Function and analyze the data using Microsoft AI Document Intelligence Model.

IP and use case assets for CSU

This repository is a comprehensive collection of complete codes for lab files from the AI-102 course and other AI-related courses, consolidating resources from multiple Microsoft Learning repositories focused on AI services, vision, language, document intelligence, knowledge mining, and OpenAI.

Azure Cognitive Search: Utilizando AI Search para indexação e consulta de Dados