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Stars gained: From May 8, 2026 to Nov 13, 2026, each from zeroStars gainedFrom May 8, 2026 to Nov 13, 2026, each from zero0200400May 8Nov 13, 2026visual-layer/fastduplukas-blecher/LaTeX-OCR
Stars: The star count at the end of each dayStarsThe star count at the end of each day10KApr 26Nov 13, 2026visual-layer/fastduplukas-blecher/LaTeX-OCR

Facts

Fact visual-layer/fastdup

fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability.

lukas-blecher/LaTeX-OCR

pix2tex: Using a ViT to convert images of equations into LaTeX code.

Stars 1,91616,620
Net stars, last 30 days +5+38
Largest star day +15 on Aug 12, 2026+13 on May 16, 2026
Milestone reached in the record NoneNone
Forks 951,301
Language PythonPython
License Other licenseMIT
Created May 11, 2022Dec 11, 2020
Last push Aug 23, 2026Jan 18, 2025
Archived NoNo
Health facts: Maintenance 2 of 4 checks (2 without data)1 of 4 checks
Health facts: Releases 0 of 3 checks (1 without data)1 of 3 checks
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check
Health facts: Community files 1 of 3 checks (2 without data)1 of 3 checks
Commits, last 13 weeks No data0
Weeks with commits, last 52 No data0 of 52
In the Repository Index since Nov 12, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: dataset, deep-learning, machine-learning, python, image-processing. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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