#jupyter_notebook #coreml #ios #object_detection #onnx #pytorch #tflite #yolov3 #yolov4 #yolov5
https://github.com/ultralytics/yolov5
https://github.com/ultralytics/yolov5
GitHub
GitHub - ultralytics/yolov5: YOLOv5 π in PyTorch > ONNX > CoreML > TFLite
YOLOv5 π in PyTorch > ONNX > CoreML > TFLite. Contribute to ultralytics/yolov5 development by creating an account on GitHub.
#python #caffe #computer_vision #coreml #edgetpu #keras #mediapipe #model #model_zoo #models #onnx #openvino #pretrained_models #pytorch #tensorflow #tensorflow_lite #tensorflowjs #tf_trt #tfjs #tflite #tflite_models
https://github.com/PINTO0309/PINTO_model_zoo
https://github.com/PINTO0309/PINTO_model_zoo
GitHub
GitHub - PINTO0309/PINTO_model_zoo: A repository for storing models that have been inter-converted between various frameworks.β¦
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8...
#python #graphcore #habana #inference #intel #onnx #onnxruntime #optimization #pytorch #quantization #tflite #training #transformers
https://github.com/huggingface/optimum
https://github.com/huggingface/optimum
GitHub
GitHub - huggingface/optimum: π Accelerate inference and training of π€ Transformers, Diffusers, TIMM and Sentence Transformersβ¦
π Accelerate inference and training of π€ Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools - huggingface/optimum
#python #coreml #deep_learning #ios #machine_learning #ml #object_detection #onnx #pytorch #tflite #ultralytics #yolo #yolov3 #yolov5
YOLOv5 is a powerful and easy-to-use AI model for object detection, image segmentation, and classification. It is designed to be fast, accurate, and simple to implement. Here are the key benefits YOLOv5 is straightforward to set up and use, with detailed documentation and tutorials available.
- **Performance** You can use YOLOv5 for object detection, image segmentation, and classification tasks.
- **Community Support** You can run YOLOv5 in various environments such as Google Colab, Paperspace, Kaggle, and Docker.
Overall, YOLOv5 simplifies the process of integrating advanced AI capabilities into your projects.
https://github.com/ultralytics/yolov5
YOLOv5 is a powerful and easy-to-use AI model for object detection, image segmentation, and classification. It is designed to be fast, accurate, and simple to implement. Here are the key benefits YOLOv5 is straightforward to set up and use, with detailed documentation and tutorials available.
- **Performance** You can use YOLOv5 for object detection, image segmentation, and classification tasks.
- **Community Support** You can run YOLOv5 in various environments such as Google Colab, Paperspace, Kaggle, and Docker.
Overall, YOLOv5 simplifies the process of integrating advanced AI capabilities into your projects.
https://github.com/ultralytics/yolov5
GitHub
GitHub - ultralytics/yolov5: YOLOv5 π in PyTorch > ONNX > CoreML > TFLite
YOLOv5 π in PyTorch > ONNX > CoreML > TFLite. Contribute to ultralytics/yolov5 development by creating an account on GitHub.