Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
-
Updated
Jul 15, 2024 - Python
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022
A Repo For Document AI
Official PyTorch implementation of LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding (ACL 2022)
Document AI Toolbox is an SDK for Python that provides utility functions for managing, manipulating, and extracting information from the document response. It creates a "wrapped" document object from JSON files in Cloud Storage, local JSON files, or output directly from the Document AI API.
Official Implementation of Web-based Visual Corpus Builder (Webvicob), ICDAR 2023
SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images (AAAI2023)
An unofficial PyTorch implementation of "Lin et al. ViBERTgrid: A Jointly Trained Multi-Modal 2D Document Representation for Key Information Extraction from Documents. ICDAR, 2021"
SamKenX applications and Document AI, the end-to-end document processing platform on Cloudstorage warehouse.
[Paper] Code for the EMNLP2023 (Findings) paper "Global Structure Knowledge-Guided Relation Extraction Method for Visually-Rich Document"
Extracting Data from Document PDF and Converting to EDI211 Files Using GCP and Google Document AI
An OCR-free Visual Document Embedding Model Based on MiniCPM-V-2.0
Add a description, image, and links to the document-ai topic page so that developers can more easily learn about it.
To associate your repository with the document-ai topic, visit your repo's landing page and select "manage topics."