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  1. Home
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  3. /alephpi/Texo
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repoGitHubTrust 82 · PrimaryPublished 2d agoLive · 2d ago

alephpi/Texo

A minimalist SOTA LaTeX OCR model with only 20M parameters, running in browser. Full training pipeline available for self-reproduction. | 超轻量SOTA LaTeX公式识别模型，仅20M参数量，可在浏览器中运行。训练全流程代码开源，以便自学复现。

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 60%Find the best open-source OCR models in one place at Papers with Code [P] →
  • PossiblePossibly related (embedding) · 52%TurboOCR v3 — high-speed document OCR server (C++/CUDA), ~520 img/s on RTX 5090 →
  • PossiblePossibly related (embedding) · 52%PP-OCRv6 on Hugging Face: 50-Language OCR from 1.5M to 34.5M Parameters →

Covers

newsFind the best open-source OCR models in one place at Papers with Code [P]newsTurboOCR v3 — high-speed document OCR server (C++/CUDA), ~520 img/s on RTX 5090newsPP-OCRv6 on Hugging Face: 50-Language OCR from 1.5M to 34.5M Parameters

Related across the graph

newsPP-OCRv6 on Hugging Face: 50-Language OCR from 1.5M to 34.5M ParametersnewsFind the best open-source OCR models in one place at Papers with Code [P]newsTurboOCR v3 — high-speed document OCR server (C++/CUDA), ~520 img/s on RTX 5090
Knowledge path·NPP-OCRv6 on Hugging Face: 50-Language OCR from 1.5M to 34.5M Parameters→NFind the best open-source OCR models in one place at Papers with Code [P]→NTurboOCR v3 — high-speed document OCR server (C++/CUDA), ~520 img/s on RTX 5090→Ralephpi/Texo

Topics

computer-visiondeep-learningdistillation-modelformulaformulanethydralatexlatex-ocrmachine-learningmath

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Graph trust82Primary
Graph score883