mPLUG-DocOwl

Doc Analyst

A large language model designed to understand documents without OCR, focusing on document structure and content analysis.

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

GitHub

2k stars
33 watching
115 forks
Language: Python
last commit: almost 2 years ago
chart-understandingdocument-understandingmllmmultimodalmultimodal-large-language-modelstable-understanding

Related projects:

RepositoryDescriptionStars
x-plug/mplug-halowlEvaluates and mitigates hallucinations in multimodal large language models82
bobld/documentlayoutanalysisDevelops tools and algorithms for analyzing layout and structure of documents in PDF format591
docopt/docopt.cA C-code generator for parsing command-line arguments in the docopt language320
jsv4/opencontractsA document analytics platform providing features for managing documents, extracting layout information and vector embeddings, annotating documents, and querying them using LlamaIndex.728
applieddatasciencepartners/xgboostexplainerProvides tools to understand and interpret the decisions made by XGBoost models in machine learning253
fuxiaoliu/mmcDevelops a large-scale dataset and benchmark for training multimodal chart understanding models using large language models.87
uglytoad/pdfpigA C# library for extracting and analyzing text from PDF files1,794
docopt/docopt.netA .NET implementation of docopt to automatically derive command-line argument parsing logic from help text.356
melisgl/mgl-paxA documentation system and browser for generating interactive code documentation from embedded docstrings.75
0xvavaldi/gramifyAnalyzes text data to extract patterns of words or characters for password cracking and analysis purposes.28
amiremohamadi/duckxA C++ library that allows reading and writing of Microsoft Office Word .docx files430
datamllab/xdeepProvides tools for interpreting deep neural networks42
docopt/docopt.fsA library that generates option parsers based on human-readable help messages.34
x-plug/cvaluesEvaluates and aligns the values of Chinese large language models with safety and responsibility standards481
tingxueronghua/chartllama-codeA multimodal LLM for understanding and generating charts in various formats.202