Open source documentation of Microsoft Azure

Azure Machine Learning demo on flight delay prediction (work in progress)

A Keras implementation of YOLOv3 (Tensorflow backend)

reference implementation to use ONNX Runtime with Azure IoT Edge

Samples for Intelligent Edge Patterns

A repository demonstrating an end-to-end architecture for Intelligent Video Analytics using NVIDIA hardware with Microsoft Azure

ONNX Runtime: cross-platform, high performance scoring engine for ML models

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.

AzureML Workshop for the 2019 Euro Tour

Sample that show hardware acceleration using onnx and other methods from Azure

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.

Tutorials for creating and using ONNX models

A sample showing how to take advantage of the intelligent edge using Azure ML, IoT and Edge

Sample showing how to deploy a AI model from the Custom Vision service to a Raspberry Pi 3 device using Azure IoT Edge

Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft

The ONNX Model Zoo is a collection of pre-trained, state-of-the-art models in the ONNX format

ONNX-TensorRT: TensorRT backend for ONNX