lightly-ai/lightly-train

Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]

Reference PyTorch implementation and models for DINOv3

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

Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

A python library for self-supervised learning on images.

OpenMMLab Pre-training Toolbox and Benchmark

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.