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This page shows the Star History and the facts of 2 to 5 repositories in the Repository Index, side by side. You choose the repositories. The page does not rank them.

Stars gained: From May 13, 2026 to Nov 13, 2026, each from zeroStars gainedFrom May 13, 2026 to Nov 13, 2026, each from zero0200400May 13Nov 13, 2026extreme-assistant/ICCV2023-Paper-Code-Interpretationroboflow/notebooks
Stars: The star count at the end of each dayStarsThe star count at the end of each day5K10KMay 12Nov 13, 2026extreme-assistant/ICCV2023-Paper-Code-Interpretationroboflow/notebooks

Facts

Fact extreme-assistant/ICCV2023-Paper-Code-Interpretation

ICCV2021/2019/2017 论文/代码/解读/直播合集,极市团队整理

roboflow/notebooks

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.

Stars 2,2949,748
Net stars, last 30 days 0+50
Largest star day +1 on Jul 28, 2026+11 on Jun 8, 2026
Milestone reached in the record NoneNone
Forks 1,3581,503
Language Not reportedJupyter Notebook
License No licenseNo license
Created Apr 1, 2019Nov 18, 2022
Last push Sep 19, 2023Sep 22, 2026
Archived NoNo
Health facts: Maintenance 1 of 4 checks (2 without data)2 of 4 checks (2 without data)
Health facts: Releases 0 of 3 checks (2 without data)1 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 0 of 3 checks (2 without data)0 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 11, 2026Nov 10, 2026

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