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.
Explore tutorials on using advanced computer vision models for tasks like object detection and image segmentation.
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Free · no card · unsubscribe anytimeA 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.
notebooks has 9.6k stars on GitHub. It has been forked 1.5k times. notebooks is written mainly in Jupyter Notebook. It has been in active development since 2022. Its main topics are automatic-labeling-system, computer-vision, deep-learning, deep-neural-networks.
What is 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.
Is notebooks open source?
notebooks is an open-source project.
Is notebooks free?
Yes. notebooks is free and open source — you can use, modify and self-host it.
What language is notebooks written in?
notebooks is written mainly in Jupyter Notebook.
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