
GitHub - THU-MIG/yolov10: YOLOv10: Real-Time End-to-End …
Please check out our new release on YOLOE. YOLOE code: https://github.com/THU-MIG/yoloe YOLOE paper: https://arxiv.org/abs/2503.07465 Comparison of performance, training cost, and inference efficiency between YOLOE (Ours) and YOLO-Worldv2 in terms of open text prompts.
ultralytics/yolov5: YOLOv5 in PyTorch > ONNX - GitHub
Experience seamless AI development with Ultralytics HUB ⭐, the ultimate platform for building, training, and deploying computer vision models. Visualize datasets, train YOLOv5 and YOLOv8 🚀 models, and deploy them to real-world applications without writing any code.
GitHub - ultralytics/ultralytics: Ultralytics YOLO11
Experience seamless AI with Ultralytics HUB, the all-in-one platform for data visualization, training YOLO models, and deployment—no coding required. Transform images into actionable insights and bring your AI visions to life effortlessly using our cutting-edge platform and user-friendly Ultralytics App. Start your journey for Free today!
GitHub - jules-ai/ultralytics-official: Ultralytics YOLO11
Experience seamless AI with Ultralytics HUB ⭐, the all-in-one solution for data visualization, YOLO11 🚀 model training and deployment, without any coding. Transform images into actionable insights and bring your AI visions to life with ease using our cutting-edge platform and user-friendly Ultralytics App. Start your journey for Free now!
GitHub - Passer1072/RookieAI_yolov8: 基于yolov8实现的AI自瞄项 …
目前测试主系统空载YOLO使用YOLO11n模型推理的帧数从55提升到了80,有明显提升。 配合独立的鼠标移动进程,理论上可以带来不错的使用体验。
AlexeyAB/darknet: YOLOv4 / Scaled-YOLOv4 / YOLO - GitHub
Deepstream 5.0 / TensorRT for YOLOv4 https://github.com/NVIDIA-AI-IOT/yolov4_deepstream or https://github.com/marcoslucianops/DeepStream-Yolo read Yolo is natively supported in …
GitHub - Franklin-Zhang0/Yolo-v8-Apex-Aim-assist
Contribute to Franklin-Zhang0/Yolo-v8-Apex-Aim-assist development by creating an account on GitHub.
AILab-CVC/YOLO-World - GitHub
Jan 31, 2024 · YOLO-World is the next-generation YOLO detector, with a strong open-vocabulary detection capability and grounding ability. YOLO-World presents a prompt-then-detect paradigm for efficient user-vocabulary inference, which re-parameterizes vocabulary embeddings as parameters into the model and achieve superior inference speed.
ultralytics/yolov3: YOLOv3 in PyTorch > ONNX > CoreML - GitHub
Experience seamless AI development with Ultralytics HUB ⭐, the ultimate platform for building, training, and deploying computer vision models. Visualize datasets, train YOLOv3, YOLOv5 and YOLOv8 🚀 models, and deploy them to real-world applications without writing any code.
GitHub - SunOner/sunone_aimbot: Aim-bot based on AI for all …
Sunone Aimbot is an AI-powered aim bot for first-person shooter games. It leverages the YOLOv8 and YOLOv10 models, PyTorch, and various other tools to automatically target and aim at …