Results for “project-v2”

Trains vision transformers via self-distillation without labels for self-supervised visual representation learning, and supports export and inference of NVDINOv2 backbones.

Guides machine learning development with experiment tracking, hyperparameter optimization, model registry, and MLOps pipeline integration.