Popular GitHub Repositories for Document

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

TF2.0 / TensorFlow 2.0 / TensorFlow2.0 官方文档中文版

Hierarchical Attention Networks for Chinese Sentiment Classification

An application of high resolution GANs to dewarp images of perturbed documents

Web EPUB and PDF text to speech document reader. Read documents in realtime with high-quality TTS; or extract audiobooks. Use your own Kokoro TTS API or Open AI API endpoint.

An on-premises unstructured data extraction tool powered by vision language models.

Pytorch implementation of Paper by Google Research - Representation Learning for Information Extraction from Form-like Documents.

HUAWEI HMS meachine learning services demo apk download.

Build document-native LLM applications

GroupDocs.Classification-for-.NET samples and showcase (text and documents classification and sentiment analysis)

Chat with your pdf using your local LLM, OLLAMA client.(incomplete)

Implementation, trained models and result data for the paper "Pairwise Multi-Class Document Classification for Semantic Relations between Wikipedia Articles"

Synthetic Document Generator for Document AI. Creates document images annotated with text and bounding boxes of each word. Images contain headings, tables, paragraphs with different formatting and fonts. Can be used in OCR, document transformers pretraining, text detection and more other tasks.

The Indox Ecosystem offers integrated AI tools for data workflows. Our four components (IndoxArcg, IndoxMiner, IndoxJudge, and IndoxGen) enhance AI applications with advanced retrieval, extraction, evaluation, and generation capabilities, supporting multiple document formats and LLM providers.

[ICPRAI 2024] DocumentCLIP: Linking Figures and Main Body Text in Reflowed Documents

The repository contains the code and notebooks for the tutorials on how to extract embedding features from pictures using the ResNext model. The quality and effectiveness of the techniques are proved by the clustering in the embedding space and the correlation of clusters with their corresponding labels.

RAG-QA is a free, containerised question-answer framework that allows you to ask questions to your documents in an intuitive way

提供文档伪造功能的多功能服务器

A Bayesian Multilingual Document Model

We compared LangChain, Fixie, and Marvin