Open standard for machine learning interoperability

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Primary source of truth for the Docker "Official Images" program

Docker CLI plugin for extended build capabilities with BuildKit

The IoT Edge OSS project

The Azure IoT Edge product

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

A static website featuring the sketchnotes from my Cloud Computing learning journeys - with relevant links to sources where possible

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

Tutorials for creating and using ONNX models

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Embedded Learning Library

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

Build and run Docker containers leveraging NVIDIA GPUs

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

Vision AI Developer Kit Preview

Easily deploy models to FPGAs for ultra-low latency with Azure Machine Learning powered by Project Brainwave

AI Toolkit for Azure IoT Edge

How to deploy ONNX models using DeepStream on Jetson Nano

MobileNet_v1 modified to be Quantization Friendly per https://arxiv.org/abs/1803.08607

SpiNNaker based Nengo simulator.