Matthew-Trachtenberg

Matthew Trachtenberg's repositories

active-learning-workshop

Active Learning Workshop Materials

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AI

Welcome to the Microsoft Conversational AI repository which is the home for a set of templates and solutions to help build Conversational Experiences using Azure Bot Service and Bot Framework.

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appgw-aseilbssl

Deploy an Azure Application Gateway + Internal Load Balanced App Service Environment with End-to-End SSL encryption.

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awesome-terraform

An authoritative list of awesome Azure Terraform tools and samples with help from community experiments and contributions.

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azure-devops-utils

Azure DevOps Utilities

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Azure-Health-Extension

Health Extention

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Azure-PowerShell-Snippets

Personal repo for common Azure PowerShell snippet samples

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azure-quickstart-templates

Azure Quickstart Templates

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azure-sharepoint-dev-vm

Azure ARM template for SharePoint 2016 DEV environment

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AzureCloneRunningVM

Clone a running Linux VM in Azure

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AzureMonitoringHackathon

Operationalize Azure deployments with Azure platform tools

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AzureSearch_JFK_Files

This repo contains the sample code of the Azure Search and Cognitive Services used to provide insights and analysis around the JFK Files.

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blobporter

Highly concurrent data transfer tool for Azure Blob Storage.

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Cognitive-Samples-IntelligentKiosk

Welcome to the Intelligent Kiosk Sample! Here you will find several demos showcasing workflows and experiences built on top of the Microsoft Cognitive Services.

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Cognitive-Samples-VideoFrameAnalysis

A library with sample apps for continuous analysis of live video, using the Microsoft Cognitive Services Vision APIs.

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DevOps-For-AI-Apps

This repository contains code samples for building a continuous integration pipeline for an AI application using Azure.

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A wifibroadcast extension to make iNAV & and MAVLink based flight controllers more usable for aerial photography. Intended to be a real alternative to DJI Lightbridge and other similar systems. RC, smartphone app, alternative telemetry downlink and command modules are provided by this project.

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Health-Data-and-AI-Blueprint

Azure Security and Compliance Blueprint - HIPAA/HITRUST Health Data and AI - deployment, and demo that Predicts the Length of Stay in Hospitals

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iot-edge

Azure IoT Edge

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LearnAI-AIonIaaS

This repository contains training materials around AI on IaaS++

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LearnAI-Bootcamp

LearnAI Boot Camp Training Materials

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learnAnalytics-DeepLearning-Azure

Learning Materials for Deep Learning on Azure

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migAz

Repo for all versions of migAz tool

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pci-paas-webapp-ase-sqldb-appgateway-keyvault-oms

Azure Security and Compliance Blueprint - automation pci-paas-webapp-ase-sqldb-appgateway-keyvault-oms

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pixel_level_land_classification

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

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Matthew-Trachtenberg