#jupyter_notebook #coreml #ios #object_detection #onnx #pytorch #tflite #yolov3 #yolov4 #yolov5

https://github.com/ultralytics/yolov5

#cplusplus #cpp #deep_learning #machine_learning #ml #neural_network #onnx

https://github.com/neoml-lib/neoml

#python #darknet2onnx #darknet2pytorch #onnx #pytorch #pytorch_yolov4 #tensorrt #yolov4

https://github.com/Tianxiaomo/pytorch-YOLOv4

#javascript #ai #caffe #caffe2 #coreml #darknet #deep_learning #deeplearning #keras #machine_learning #machinelearning #ml #mxnet #neural_network #onnx #paddle #pytorch #tensorflow #tensorflow_lite #torch #visualizer

https://github.com/lutzroeder/netron

#python #nlp #sparsity #tensorflow #keras #pytorch #deep_learning_algorithms #image_classification #deep_learning_library #pruning #object_detection #automl #computer_vision_algorithms #onnx #deep_learning_models #sparsification #pruning_algorithms #smaller_models #model_sparsification #sparsification_recipes #recipe_driven_approaches

https://github.com/neuralmagic/sparseml

#python #tensorrt #ncnn #onnx #yolov3 #openvino #yolox #yolox_nano

https://github.com/Megvii-BaseDetection/YOLOX

#python #ai #artificial_intelligence #computer_vision #coreml #deep_learning #high_resolution #machine_learning #matting #onnx #pytorch #real_time #tensorflow #tfjs #video_matting

https://github.com/PeterL1n/RobustVideoMatting

#scala #ai #apache_spark #azure #big_data #cognitive_services #data_science #databricks #deep_learning #http #lightgbm #machine_learning #microsoft #ml #model_deployment #onnx #opencv #pyspark #spark #synapse

https://github.com/microsoft/SynapseML

#python #detection #detextron2 #detr #face #instance_segmentation #object_detection #onnx #tensorrt #transformers #yolo #yolov6 #yolov7 #yolox

https://github.com/jinfagang/yolov7

#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

#python #anchor_free #computer_vision #deep_learning #edge_computing #object_detection #object_detector #onnx #pytorch #tensorrt #yolo

https://github.com/LSH9832/edgeyolo

#python #damo_yolo #deep_learning #imagenet #nas #object_detection #onnx #pytorch #tensorrt #yolo #yolov5

https://github.com/tinyvision/DAMO-YOLO

#python #graphcore #habana #inference #intel #onnx #onnxruntime #optimization #pytorch #quantization #tflite #training #transformers

https://github.com/huggingface/optimum

#python #onnx #pytorch #voice_activity_detection #voice_commands #voice_control #voice_detection #voice_recognition

https://github.com/snakers4/silero-vad

#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

#cplusplus #ai_framework #deep_learning #hardware_acceleration #machine_learning #neural_networks #onnx #pytorch #scikit_learn #tensorflow

ONNX Runtime is a tool that makes machine learning faster and cheaper. It works on many different devices and operating systems, like Windows, Linux, and Mac, and supports popular machine learning frameworks like PyTorch and TensorFlow. This means you can use it to speed up your machine learning models, making your applications run faster and more efficiently. It also helps in training models quickly, especially on powerful NVIDIA GPUs. This benefits you by providing faster customer experiences and lower costs for your machine learning projects.

https://github.com/microsoft/onnxruntime