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ultralytics/yolov5
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
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- ultralytics/yolov3
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
Why this match
topics computer-vision, coreml, deep-learning
- ultralytics/ultralytics
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
Why this match
topics computer-vision, deep-learning, image-classification
- Megvii-BaseDetection/YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
Why this match
topics deep-learning, object-detection, onnx; license differs: AGPL-3.0 → Apache-2.0
- roboflow/supervision
We write your reusable computer vision tools. 💜
Why this match
topics computer-vision, deep-learning, instance-segmentation; license differs: AGPL-3.0 → MIT
- NVIDIA/TensorRT
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
Why this match
topics deep-learning, inference, tensorrt; language differs: Python → C++; license differs: AGPL-3.0 → Apache-2.0
- CVHub520/X-AnyLabeling
X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, point cloud and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.
Why this match
topics computer-vision, deep-learning, image-classification; license differs: AGPL-3.0 → GPL-3.0
- roboflow/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.
Why this match
topics computer-vision, deep-learning, image-classification; language differs: Python → Jupyter Notebook
- GeeeekExplorer/nano-vllm
Nano vLLM
Why this match
topics deep-learning, inference, pytorch; license differs: AGPL-3.0 → MIT