https://github.com/veason-silverbullet/vitlp
공식 코드Visually Guided Generative Text-Layout Pre-training for Document Intelligence
Papers with Code 아카이브
Document AI
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/wendywangwwt/zero-shot-complex-question-answering-on-long-scientific-documents
공식 코드Zero-Shot Complex Question-Answering on Long Scientific Documents
https://github.com/wenwenyu/MASTER-pytorch
공식 코드https://github.com/whlscut/DocLayLLM
공식 코드https://github.com/x-lance/weblm
공식 코드Hierarchical Multimodal Pre-training for Visually Rich Webpage Understanding
https://github.com/x-plug/mplug-docowl
공식 코드mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding
https://github.com/xptree/BlockBERT
공식 코드https://github.com/yh-hust/pdf-wukong
공식 코드PDF-WuKong: A Large Multimodal Model for Efficient Long PDF Reading with End-to-End Sparse Sampling
https://github.com/yuliang-liu/monkey
공식 코드TextMonkey: An OCR-Free Large Multimodal Model for Understanding Document
https://github.com/zhbuaa0/layoutlmft
공식 코드XFormParser: A Simple and Effective Multimodal Multilingual Semi-structured Form Parser
https://github.com/zhbuaa0/xformparser
공식 코드XFormParser: A Simple and Effective Multimodal Multilingual Semi-structured Form Parser
https://github.com/zlwang-cs/OfficeBench
공식 코드OfficeBench: Benchmarking Language Agents across Multiple Applications for Office Automation
https://github.com/zzr8066/graphdoc
공식 코드Multimodal Pre-training Based on Graph Attention Network for Document Understanding
https://github.com/zzzhang-jx/docres
공식 코드DocRes: A Generalist Model Toward Unifying Document Image Restoration Tasks
https://github.com/2023-MindSpore-1/ms-code-2/tree/main/OCRNet
https://github.com/2024-MindSpore-1/Code3/tree/main/VI-LayoutXLM
LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding
https://github.com/BordiaS/layoutlm
LayoutLM: Pre-training of Text and Layout for Document Image Understanding
https://github.com/DS4SD/MarkushGrapher
Unifying Vision, Text, and Layout for Universal Document Processing
https://github.com/EncryptedBinary/Meta_analysis
Financial Report Chunking for Effective Retrieval Augmented Generation
https://github.com/JingfenQiao/ColPali-Reproducibility
ColPali: Efficient Document Retrieval with Vision Language Models
https://github.com/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/Certification_Trainings/Healthcare/10.3.Clinical_RE_SparkNLP_Paper_Reproduce.ipynb
Deeper Clinical Document Understanding Using Relation Extraction
https://github.com/MS-P3/code3/tree/main/layoutlm
LayoutLM: Pre-training of Text and Layout for Document Image Understanding
https://github.com/MS-P3/code3/tree/main/layoutlmv2
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding
https://github.com/MS-P3/code3/tree/main/lilt
https://github.com/MS-P3/code4/tree/main/wukong
Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding
https://github.com/MindCode-4/code-3/tree/main/deit
DiT: Self-supervised Pre-training for Document Image Transformer
https://github.com/MindCode-4/code-3/tree/main/donut
https://github.com/MindCode-4/code-5/tree/main/udop
Unifying Vision, Text, and Layout for Universal Document Processing
https://github.com/MindSpore-scientific-2/code-14/tree/main/layoutlm
LayoutLM: Pre-training of Text and Layout for Document Image Understanding
https://github.com/MindSpore-scientific-2/code-14/tree/main/layoutlmv2
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding
https://github.com/MindSpore-scientific-2/code-14/tree/main/layoutlmv3
LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking
https://github.com/MindSpore-scientific-2/code-14/tree/main/lilt
https://github.com/MindSpore-scientific/code-7/tree/main/LayoutLMv2
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding
https://github.com/NormXU/ERNIE-Layout-Pytorch
ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/paddlenlp/transformers/layoutlm
LayoutLM: Pre-training of Text and Layout for Document Image Understanding
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/paddlenlp/transformers/layoutlmv2
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.