#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 🚀 in PyTorch > ONNX > CoreML > TFLite
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite. Contribute to ultralytics/yolov5 development by creating an account on GitHub.
#cplusplus #cpp #deep_learning #machine_learning #ml #neural_network #onnx
https://github.com/neoml-lib/neoml
https://github.com/neoml-lib/neoml
GitHub
GitHub - neoml-lib/neoml: Machine learning framework for both deep learning and traditional algorithms
Machine learning framework for both deep learning and traditional algorithms - neoml-lib/neoml
#python #darknet2onnx #darknet2pytorch #onnx #pytorch #pytorch_yolov4 #tensorrt #yolov4
https://github.com/Tianxiaomo/pytorch-YOLOv4
https://github.com/Tianxiaomo/pytorch-YOLOv4
GitHub
GitHub - Tianxiaomo/pytorch-YOLOv4: PyTorch ,ONNX and TensorRT implementation of YOLOv4
PyTorch ,ONNX and TensorRT implementation of YOLOv4 - 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
https://github.com/lutzroeder/netron
GitHub
GitHub - lutzroeder/netron: Visualizer for neural network, deep learning and machine learning models
Visualizer for neural network, deep learning and machine learning models - 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
https://github.com/neuralmagic/sparseml
GitHub
GitHub - neuralmagic/sparseml: Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling…
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models - neuralmagic/sparseml
#python #tensorrt #ncnn #onnx #yolov3 #openvino #yolox #yolox_nano
https://github.com/Megvii-BaseDetection/YOLOX
https://github.com/Megvii-BaseDetection/YOLOX
GitHub
GitHub - Megvii-BaseDetection/YOLOX: YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT…
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/ - Megvii-BaseDetection/Y...
#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
https://github.com/PeterL1n/RobustVideoMatting
GitHub
GitHub - PeterL1n/RobustVideoMatting: Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML! - 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
https://github.com/microsoft/SynapseML
GitHub
GitHub - microsoft/SynapseML: Simple and Distributed Machine Learning
Simple and Distributed Machine Learning. Contribute to microsoft/SynapseML development by creating an account on GitHub.
#python #detection #detextron2 #detr #face #instance_segmentation #object_detection #onnx #tensorrt #transformers #yolo #yolov6 #yolov7 #yolox
https://github.com/jinfagang/yolov7
https://github.com/jinfagang/yolov7
GitHub
GitHub - lucasjinreal/yolov7_d2: 🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with…
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥 - lucasjinreal/yolov7_d2
#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.…
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 #anchor_free #computer_vision #deep_learning #edge_computing #object_detection #object_detector #onnx #pytorch #tensorrt #yolo
https://github.com/LSH9832/edgeyolo
https://github.com/LSH9832/edgeyolo
GitHub
GitHub - LSH9832/edgeyolo: an edge-real-time anchor-free object detector with decent performance
an edge-real-time anchor-free object detector with decent performance - LSH9832/edgeyolo
#python #damo_yolo #deep_learning #imagenet #nas #object_detection #onnx #pytorch #tensorrt #yolo #yolov5
https://github.com/tinyvision/DAMO-YOLO
https://github.com/tinyvision/DAMO-YOLO
GitHub
GitHub - tinyvision/DAMO-YOLO: DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones…
DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement. - tinyvision/DAMO-YOLO
#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: 🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers…
🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools - huggingface/optimum
#python #onnx #pytorch #voice_activity_detection #voice_commands #voice_control #voice_detection #voice_recognition
https://github.com/snakers4/silero-vad
https://github.com/snakers4/silero-vad
GitHub
GitHub - snakers4/silero-vad: Silero VAD: pre-trained enterprise-grade Voice Activity Detector
Silero VAD: pre-trained enterprise-grade Voice Activity Detector - 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
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 🚀 in PyTorch > ONNX > CoreML > TFLite
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite. Contribute to ultralytics/yolov5 development by creating an account on GitHub.