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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 zero0200May 8Nov 13, 2026visual-layer/fastdupjacobgil/pytorch-grad-cam
Stars: The star count at the end of each dayStarsThe star count at the end of each day5K10KApr 26Nov 13, 2026visual-layer/fastdupjacobgil/pytorch-grad-cam

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.

jacobgil/pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Stars 1,91613,013
Net stars, last 30 days +5+19
Largest star day +15 on Aug 12, 2026+8 on May 25, 2026
Milestone reached in the record NoneNone
Forks 951,716
Language PythonPython
License Other licenseMIT
Created May 11, 2022May 31, 2017
Last push Aug 23, 2026Nov 1, 2026
Archived NoNo
Health facts: Maintenance 2 of 4 checks (2 without data)3 of 4 checks
Health facts: Releases 0 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
Health facts: Community files 1 of 3 checks (2 without data)1 of 3 checks
Commits, last 13 weeks No data5
Weeks with commits, last 52 No data8 of 52
In the Repository Index since Nov 12, 2026Oct 22, 2026

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