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Stars gained: From Jun 2, 2026 to Nov 14, 2026, each from zeroStars gainedFrom Jun 2, 2026 to Nov 14, 2026, each from zero05001KJun 2Nov 14, 2026keyu-tian/SparKultralytics/yolov5
Stars: The star count at the end of each dayStarsThe star count at the end of each day025K50KApr 26Nov 14, 2026keyu-tian/SparKultralytics/yolov5

Facts

Fact keyu-tian/SparK

[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"

ultralytics/yolov5

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

Stars 1,38558,268
Net stars, last 30 days +4+113
Largest star day +3 on Oct 8, 2026+22 on Oct 23, 2026
Milestone reached in the record NoneNone
Forks 8617,433
Language PythonPython
License MITAGPL-3.0
Created Jan 5, 2023May 18, 2020
Last push Jan 23, 2024Nov 7, 2026
Archived NoNo
Health facts: Maintenance 1 of 4 checks (2 without data)4 of 4 checks
Health facts: Releases 0 of 3 checks (1 without data)0 of 3 checks
Health facts: Security practice 0 of 1 check (1 without data)1 of 1 check
Health facts: Community files 1 of 3 checks (2 without data)3 of 3 checks
Commits, last 13 weeks No data26
Weeks with commits, last 52 No data34 of 52
In the Repository Index since Nov 13, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: deep-learning, object-detection, pytorch, instance-segmentation. 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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