liunian-Jay/MU-GOT

PDF Parsing Tool: GOT's vLLM acceleration implementation, MinerU for layout recognition, and GOT for table formula parsing.

25
/ 100
Experimental

Implements an end-to-end PDF-to-markdown pipeline that decouples layout recognition from table parsing, using vLLM 0.5.3 for GOT acceleration with batch inference optimization and eliminating intermediate file I/O by passing data through variables. The system first converts PDFs to markdown via MinerU's layout analysis, then applies GOT-OCR2.0 for table-to-LaTeX formula extraction, targeting Torch 2.3.1 and Qwen2 model architectures.

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No License Stale 6m No Package No Dependents
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Maturity 8 / 25
Community 9 / 25

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65

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Language

Python

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Last pushed

Nov 07, 2024

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