ai-toolkit-iot-edge

AI Toolkit for Azure IoT Edge

architecture-center

Azure Architecture Center

azure-cli-extensions

Public Repository for Extensions of Azure CLI.

azure-devops-docs

This repo is the home of the official Azure DevOps documentation for Microsoft. GitHub Issues filed in this repository should be for problems with the documentation.

azure-docs

azure-docs-cli

Repository used to store content for the docs.microsoft.com content for the Azure CLI

azure-industry-docs

azure-machinelearning-clientlibrary-python

azure-reference-other

Reference documentation for U-SQL, Stream Analytics query language, and Machine Learning Studio modules.

azure-rest

docs

This repository contains .NET Documentation.

handwriting

Code and procdures for handwriting object detection and recognition

hdinsight-spark-kafka-structured-streaming

How to read data from Apache Kafka on HDInsight using Spark Structured Streaming.

j-martens

Personal repository

jb-hughes

Config files for my GitHub profile.

live-share

Real-time collaborative development from the comfort of your favorite tools

machinelearningsamples-deeplearningforpredictivemaintenance

MachineLearningSamples-DeepLearningforPredictiveMaintenance

sql-docs

Technical documentation for Microsoft SQL Server, tools such as SQL Server Management Studio (SSMS) , SQL Server Data Tools (SSDT) etc.

support-tickets-classification

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

visualstudio-docs

This repo is the home of the official Visual Studio, Visual Studio for Mac, Visual Studio Subscriptions, and Scripting Technologies documentation for Microsoft.

vscode-docs

Public documentation for Visual Studio Code

vscode-tools-for-ai

VS Code Tools for AI is an extension to build, test, and deploy Deep Learning / AI solutions. It seamlessly integrates with Azure Machine Learning for robust experimentation capabilities, including but not limited to submitting data preparation and model training jobs transparently to different compute targets. Additionally, it provides support for custom metrics and run history tracking, enabling data science reproducibility and auditing. Enterprise ready collaboration, allow to securely work on project with other people.