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Stars gained: From May 18, 2026 to Nov 14, 2026, each from zeroStars gainedFrom May 18, 2026 to Nov 14, 2026, each from zero050May 18Nov 14, 2026BloodAxe/pytorch-toolbeltvisual-layer/fastdup
Stars: The star count at the end of each dayStarsThe star count at the end of each day1.6K1.8KMay 8Nov 14, 2026BloodAxe/pytorch-toolbeltvisual-layer/fastdup

Facts

Fact BloodAxe/pytorch-toolbelt

PyTorch extensions for fast R&D prototyping and Kaggle farming

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.

Stars 1,5751,916
Net stars, last 30 days 0+4
Largest star day +1 on Jun 26, 2026+15 on Aug 12, 2026
Milestone reached in the record NoneNone
Forks 12695
Language PythonPython
License MITOther license
Created Mar 15, 2019May 11, 2022
Last push Oct 9, 2025Aug 23, 2026
Archived NoNo
Health facts: Maintenance 1 of 4 checks (2 without data)2 of 4 checks (2 without data)
Health facts: Releases 1 of 3 checks (1 without data)0 of 3 checks (1 without data)
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files 1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeks No dataNo data
Weeks with commits, last 52 No dataNo data
In the Repository Index since Nov 12, 2026Nov 12, 2026

Topics that all of them have on the Repository Host: image-classification, deep-learning, python, image-processing, machine-learning, object-detection. 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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