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Stars gained: From Apr 26, 2026 to Nov 3, 2026, each from zeroStars gainedFrom Apr 26, 2026 to Nov 3, 2026, each from zero01KApr 26Nov 3, 2026microsoft/Swin-Transformerultralytics/yolov5
Stars: The star count at the end of each dayStarsThe star count at the end of each day20K40K60KApr 26Nov 3, 2026microsoft/Swin-Transformerultralytics/yolov5

Facts

Factmicrosoft/Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

ultralytics/yolov5

Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.

Stars16,08558,250
Net stars, last 30 days-5+204
Largest star day+9 on Jun 8, 2026+22 on Oct 23, 2026
Milestone reached in the recordNoneNone
Forks2,21117,447
LanguagePythonPython
LicenseMITAGPL-3.0
CreatedMar 25, 2021May 18, 2020
Last pushJul 24, 2024Nov 1, 2026
ArchivedYesNo
Health facts: Maintenance0 of 4 checks4 of 4 checks
Health facts: Releases0 of 3 checks (1 without data)0 of 3 checks
Health facts: Security practice1 of 1 check1 of 1 check
Health facts: Community files2 of 3 checks3 of 3 checks
Commits, last 13 weeks022
Weeks with commits, last 520 of 5234 of 52
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: image-classification, 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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