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dynamics-365-industry-accelerators icon dynamics-365-industry-accelerators

Dynamics 365 is releasing Industry Accelerators to enable ISVs, SIs and Partners to rapidly build industry focused solutions on top of our Business Application and Intelligence Platforms. These accelerators are created through a close partnership with internal Product , Sales, Service, Marketing, Field and Vertical Teams, with feedback from external industry SI, ISV and Partners. Here you will find samples and guidance on how to build and extend your industry solution on the Dynamics 365 Business Application and Intelligence platforms using our industry accelerators. Samples will also include cross product implementations with Azure, Office 365, Power BI, LinkedIn, Teams and other on-premise and cloud based implementations.

dynamics-ax-extensible-control-samples icon dynamics-ax-extensible-control-samples

Sample code and tutorials for building extensible controls for Microsoft Dynamics AX. Includes code samples for AX Forms, AX Tables, AX Classes, and AX Resources (HTML/JS/CSS).

dynamics365f-o-custom-help icon dynamics365f-o-custom-help

This repository contains code for helping you configure a custom help system for Microsoft Dynamics 365 Finance and Operations apps

dynsp icon dynsp

Search-based-Neural-Structured-Learning-for-Sequential-Question-Answering

ea-vq-vae icon ea-vq-vae

This repo provides the code for the ACL 2020 paper "Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder"

earth-lens icon earth-lens

Earth Lens, a Microsoft Garage project is an iOS iPad application that helps people and organizations quickly identify and classify objects in aerial imagery through the power of machine learning.

echodensity icon echodensity

Reference implementation and test synthetic data for Sorted Center Time echo density measure for acoustic impulse responses

econml icon econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

eddi icon eddi

Code for paper EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE

edge-diagnostics-adapter icon edge-diagnostics-adapter

Microsoft Edge Diagnostics Adapter is a protocol adapter that enables tools to debug Microsoft Edge using the Chrome DevTools Protocol.

edge-selenium-tools icon edge-selenium-tools

An updated EdgeDriver implementation for Selenium 3 with newly-added support for Microsoft Edge (Chromium).

edgeml icon edgeml

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

education icon education

Enabling app developers to develop great UWP apps for education scenarios

edx-configuration icon edx-configuration

a simple, but flexible, way for anyone to stand up an instance of the edX platform that is fully configured and ready-to-go

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