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Rnotebooks
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.
Popularity
Repository stars9,73576,376Highest
7-day net stars——
Fork1,49713,529Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-09-222026-11-02
Maintenance notesNot verifiedNot verified
Repository created2022-11-182026-03-18
License & use
LicenseLicense not declaredMIT · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeTutorialsTutorials
TypeGuides & collectionsGuides & collections
SubcategoryGetting startedGetting started
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguageJupyter NotebookPython
About this projectA 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.Learn AI Engineering! Learn it. Build it. Ship it for others.
Measured at2026-11-02 19:00 UTC2026-11-02 18:58 UTC
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