document-understanding

There are 15 repositories under document-understanding topic.

• infiniflow / ragflow

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

  agentagentschatbotdata-pipelinesdeep-learningdocument-parserdocument-understandinginformation-retrievalllmmachine-learningnlpocrorchestrationpdf-to-textpreprocessingragretrieval-augmented-generationtable-structure-recognition
  Language:Python 12339

• deepdoctection / deepdoctection

  A Repo For Document AI

  document-parserdocument-image-analysistable-recognitionocrdocument-aidocument-understandingpythondocument-layout-analysistable-detectionpytorchtensorflowpublaynetpubtabnetlayoutlmnlp
  Language:Python 2387

• tstanislawek / awesome-document-understanding

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

  awesomeawesome-listdeep-learningdocument-aidocument-analysisdocument-intelligencedocument-layout-analysisdocument-understandinginformation-extractionintelligent-processingkey-information-extractionmachine-learningnatural-language-processingnlpocrpdfpdf-documentsrobotic-process-automationrpaunstructured-data
  1205

• AlibabaResearch / AdvancedLiterateMachinery

  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.

  artificial-intelligencedocumentaimultimodalmultimodal-deep-learningocrcomputer-visionvision-language-transformerend-to-end-ocrscene-text-detectionscene-text-detection-recognitionscene-text-recognitiontext-detectiontext-recognitionvision-languagedocumentdocument-analysisdocument-recognitiondocument-understandingdocument-intelligencevision-language-model
  Language:C++ 1193

• X-PLUG / mPLUG-DocOwl

  mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

  chart-understandingdocument-understandingmllmmultimodalmultimodal-large-language-modelstable-understanding
  Language:Python 1158

• wenwenyu / PICK-pytorch

  Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)

  document-analysisdocument-understandinggraph-convolutional-networkgraph-learninggraph-neural-networkskey-information-extraction
  Language:Python 553

• jpWang / LiLT

  Official PyTorch implementation of LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding (ACL 2022)

  nlpdocument-aidocument-analysisdocument-understandinginformation-extractionmultimodal-pre-trained-modelmultilingual-models
  Language:Python 331
• document-ai-samples

  GoogleCloudPlatform / document-ai-samples

  Sample applications and demos for Document AI, the end-to-end document processing platform on Google Cloud

  document-understandingmachine-learningocrpdfpythonsamples
  Language:Jupyter Notebook 208

• huggingface / chug

  Minimal sharded dataset loaders, decoders, and utils for multi-modal document, image, and text datasets.

  computer-visiondataloadingdatasetsdistributed-trainingdocument-understandingmulti-modal-learningpdf-documentwebdataset
  Language:Python 138

• SCUT-DLVCLab / Document-AI-Recommendations

  Algorithms, papers, datasets, performance comparisons for Document AI. Continuously updating.

  document-aidocument-understandingkey-information-extractiontable-structure-recognitionvisual-information-extraction
  137

• andreagemelli / doc2graph

  Doc2Graph transforms documents into graphs and exploit a GNN to solve several tasks.

  deep-learningdocument-understandinggeometric-deep-learninggnnkey-information-extractionlayout-analysisnlptable-detectionpytorch
  Language:Jupyter Notebook 109

• doc-analysis / ReadingBank

  ReadingBank: A Benchmark Dataset for Reading Order Detection

  ocrnlpnatural-language-processingdocument-understandingdocument-aidocument-intelligence
  82

• MathamPollard / awesome-table-structure-recognition

  A Curated List of Awesome Table Structure Recognition (TSR) Research. Including models, papers, datasets and codes. Continuously updating.

  table-detectiontable-structure-recognitiontable-extractiontable-functional-analysisdocument-understanding
  74

• LynnHaDo / Document-Layout-Analysis

  Object Detection Model for Scanned Documents

  document-understandingobject-detectionpythonyolov8
  Language:Jupyter Notebook 58

• LynnHaDo / Checkbox-Detection

  Checkbox Detection Model for Scanned Documents

  document-understandingobject-detectionpythonyolov8computer-visioncopy-pastedeep-learning
  Language:Jupyter Notebook 32

• SCUT-DLVCLab / RFUND

  Official release of RFUND introduced in the paper "PEneo: Unifying Line Extraction, Line Grouping, and Entity Linking for End-to-end Document Pair Extraction" (arXiv:2401.03472).

  document-aidocument-understandingkey-information-extractionocrvisual-information-extraction
  16

• microsoft / CompHRDoc

  Datasets and Evaluation Scripts for CompHRDoc

  document-structure-analysisdocument-understandingrag-related
  Language:Python 15

• NExTplusplus / TAT-DQA

  TAT-DQA: Towards Complex Document Understanding By Discrete Reasoning

  document-understandingquestion-answeringvqa
  15

• uakarsh / TiLT-Implementation

  Implementation of the paper: Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer.

  deep-learningdocument-understandingtransformerspytorch-implementationpytorch-lightning
  Language:Jupyter Notebook 14

• jacobmarks / pytesseract-ocr-plugin

  Run optical character recognition with PyTesseract from the FiftyOne App!

  computer-visiondocument-understandingfiftyonenlpocrpluginpythontesseracttesseract-ocr
  Language:Python 9

• irgroup / labelstudio-to-fonduer

  This small module connects Label Studio with Fonduer by creating a fonduer labeling function for gold labels from a label studio export. Documentation: https://irgroup.github.io/labelstudio-to-fonduer/

  data-annotationlabel-studiofonduerdocument-understandingknowledge-base-construction
  Language:Python 5

• dhorvay / document-understanding-ebook

  (WIP) ✨ A comprehensive resource for understanding the world of software used in the Document Understanding field. 🧙✨

  document-aidocument-understandingawesome-document-understandingebookocr
  Language:Markdown 4

• bwnyasse / dart-documentai-samples

  A hands-on CLI tool sample showcasing the integration of Dart with Google Cloud's DocumentAI.

  dartdartlangdocument-aidocument-understandinggoogle-cloudmachine-learningsamples
  Language:Dart 3

• javier-marti-isasi / OCR-free-Document-Understanding-with-Donut-Transformer

  This project tackles a real-world challenge of automating client document processing, with a focus on enhancing document classification, error detection, data extraction, and validation.

  document-classificationdocument-understandingocr
  Language:Jupyter Notebook 3

• ExtrieveTechnologies / QuickCapture_IOS

  QuickCapture Mobile Scanning SDK Specially designed for native IOS

  document-scanning-sdkdocument-scanner-appdocument-classificationdocument-understandingiosswiftobjective-c
  Language:Objective-C 2

• ExtrieveTechnologies / QuickCapture_Android

  QuickCapture Mobile Scanning SDK Specially designed for native ANDROID from Extrieve

  document-scanning-sdkdocument-scanner-appdocument-scannerdocument-understandingandroidjavakotllin
  Language:Kotlin 1

• Lucas-Jeanniot / LAISA

  LAISA (Local AI Search Application) is a desktop app which allows you to run completely local, private, and free LLM inference. LAISA supports basic RAG with pre-configured OpenSearch Databases, and local document parsing with PDFs.

  aidocument-understanding
  Language:HTML 1

• mycielski / textract_study

  Analysing expense reports/invoices with AWS Textract and boto3.

  awsaws-cliboto3document-understandingexpensesinvoicesscriptshelltextract
  Language:Python 1