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- Profile PyTorch models for FLOPs and parameters, helping to evaluate computational efficiency and memory usage.
- MkDocs plugin for Ultralytics Docs at https://docs.ultralytics.com
- Ultralytics YOLO 🚀
- Ultralytics GitHub Actions
- Ultralytics Docs at https://docs.ultralytics.com
- YOLOv3 in PyTorch > ONNX > CoreML > TFLite
- YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
template
Public templateUltralytics Python Project Template- Structure From Motion (SFM) for vehicle speed
assets
PublicUltralytics assets- Ultralytics HUB tutorials and support
- xView 2018 Object Detection Challenge: YOLOv3 Training and Inference.
- Ultralytics GitHub default .github repository.
- Effortless lazy Python imports
- Deploy YOLO models to Replicate with ready-to-use Cog configurations and automated CI/CD. Includes optimized deployments for YOLO11, and reference implementations for custom model deployment.
- Ultralytics pre-commit hooks