M

model-training

Agent skills for Ultralytics YOLO, covering models, datasets, training, tuning, inference, tracking, and export.

GitHub: https://github.com/ultralytics/skills

https://www.ultralytics.com

Ultralytics YOLO tutorials for Colab, Kaggle, and SageMaker covering training, inference, export, and vision tasks.

GitHub: https://github.com/ultralytics/notebooks

https://docs.ultralytics.com

Retired Python SDK for the shut-down Ultralytics HUB API, kept for reference; build new integrations on the Ultralytics Platform REST API

GitHub: https://github.com/ultralytics/hub-sdk

https://docs.ultralytics.com/platform/api

Historical Ultralytics HUB repository — HUB shut down on July 31, 2026 and was replaced by Ultralytics Platform.

GitHub: https://github.com/ultralytics/hub

https://platform.ultralytics.com

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

GitHub: https://github.com/ultralytics/yolov5

https://docs.ultralytics.com/yolov5/

PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.

GitHub: https://github.com/ultralytics/yolov3

https://docs.ultralytics.com/models/yolov3/

YOLOv3 training, preprocessing, validation, and inference for object detection in xView satellite imagery and the xView detection challenge.

GitHub: https://github.com/ultralytics/xview-yolov3

https://docs.ultralytics.com