manashgoswami's repositories
azure-docs
Open source documentation of Microsoft Azure
azure-intelligent-edge-patterns
Samples for Intelligent Edge Patterns
azure-iot-samples-csharp
azure-iot-samples-csharp provides a set of easy-to-understand, continuously-tested samples for using Azure IoT Hub and Azure IoT Hub Device Provisioning Service using C# SDK.
azureml-flight-delay
Azure Machine Learning demo on flight delay prediction (work in progress)
azureml-workshop-2019
AzureML Workshop for the 2019 Euro Tour
Custom-vision-service-iot-edge-raspberry-pi
Sample showing how to deploy a AI model from the Custom Vision service to a Raspberry Pi 3 device using Azure IoT Edge
Intelligent-Video-Analytics-with-NVIDIA-Jetson-and-Microsoft-Azure
A repository demonstrating an end-to-end architecture for Intelligent Video Analytics using NVIDIA hardware with Microsoft Azure
IntelVisionIoTSample
Sample that show hardware acceleration using onnx and other methods from Azure
IoTEdgeAndMlSample
A sample showing how to take advantage of the intelligent edge using Azure ML, IoT and Edge
keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
models
The ONNX Model Zoo is a collection of pre-trained, state-of-the-art models in the ONNX format
nvidia-bert
Use onnxruntime backend on fork of NVIDIA/DeepLearningExamples/PyTorch/LanguageModeling/BERT
onnx-odsc-tutorial
Tutorial for training PyTorch and Scikit-Learn machine learning models, converting them to onnx format, inferencing the converted model with onnxruntime and finally deploying them to Azure.
onnx-tensorrt
ONNX-TensorRT: TensorRT backend for ONNX
onnxruntime
ONNX Runtime: cross-platform, high performance scoring engine for ML models
onnxruntime-iot-edge
reference implementation to use ONNX Runtime with Azure IoT Edge
tutorials
Tutorials for creating and using ONNX models