The Xbox Live Trace Analyzer tool ensures your title is using Xbox Live Services in an optimal fashion. Generate usage logs for your title as described in the Analyze Calls to Xbox Live Services article, and then run this tool to view statistics about repeated calls, burst calls, and more.
Обновлено 2024-11-16 03:57:08 +03:00
An awesome list that curates content (articles, videos, tutorials and docs) and templates (ready to use) for the Azure Developer CLI (`azd`). Plus a hosted azd-templates Gallery to simplify search & discovery
Обновлено 2024-11-14 03:36:48 +03:00
Repo for Power BI Chiclet Slicer custom visual
Обновлено 2024-11-07 10:35:44 +03:00
A JavaScript client for Microsoft Azure Time Series Insights, featuring components for making calls directly to the TSI server, rendering results from the TSI API, and more
Обновлено 2024-06-11 02:27:35 +03:00
Modulo allows optimal selection of vehicles for effective drive-by sensing
Обновлено 2024-04-08 18:44:31 +03:00
A simple node.js applicaton you can host in Azure that provides a way to centrally manage a cluster of Raspberry Pi machines (or any type of machine really). It is very light weight and designed for small number of machines.
Обновлено 2024-03-29 06:23:05 +03:00
Source code for Telerik.com blog article: "Let's Build a Sales Dashboard with React"
Обновлено 2023-12-22 15:30:43 +03:00
The Bing Maps Fleet Tracker is a tracking solution for small to medium sized teams. Easily track vehicles and mobile devices. Previously known as "Project Hurghada".
Обновлено 2023-10-08 14:51:04 +03:00
Обновлено 2023-07-26 10:50:18 +03:00
Tool for migrating from Dynamics 365 legacy KB Articles to Knowledge Management service feature.
Обновлено 2023-06-12 23:27:45 +03:00
Scenarios, tutorials and demos for Autonomous Driving
microsoft
deep-learning
simulation
tensorflow
robotics
tutorial
autonomous-vehicles
airsim
self-driving-car
autonomous-driving
autonomous-driving-cookbook
car
cntk
keras
microsoft-garage
Обновлено 2023-06-12 22:32:09 +03:00
Truly Conversational Search is the next logic step in the journey to generate intelligent and useful AI. To understand what this may mean, researchers have voiced a continuous desire to study how people currently converse with search engines. Traditionally, the desire to produce such a comprehensive dataset has been limited because those who have this data (Search Engines) have a responsibility to their users to maintain their privacy and cannot share the data publicly in a way that upholds the trusts users have in the Search Engines. Given these two powerful forces we believe we have a dataset and paradigm that meets both sets of needs: A artificial public dataset that approximates the true data and an ability to evaluate model performance on the real user behavior. What this means is we released a public dataset which is generated by creating artificial sessions using embedding similarity and will test on the original data. To say this again: we are not releasing any private user data but are releasing what we believe to be a good representation of true user interactions.
Обновлено 2023-06-12 21:21:58 +03:00
A collection of Knowledge base articles for KendoReact.
Обновлено 2023-04-05 10:20:34 +03:00
ICLR 2022 Paper, SOTA Table Pre-training Model, TAPEX: Table Pre-training via Learning a Neural SQL Executor
Обновлено 2023-02-06 11:06:18 +03:00
This repository contains code snippets, examples alongside documentation that are developed and used by the CAE team @ Microsoft that we want to make publicly available.
Обновлено 2023-01-26 12:05:38 +03:00
PHP Sample for articles on azure.microsoft.com
Обновлено 2023-01-24 20:27:05 +03:00
Code for "Generative Code Modeling with Graphs" (ICLR'19)
Обновлено 2022-12-08 07:04:56 +03:00
Code for the ICLR 2019 paper "Learning to Represent Edits"
Обновлено 2022-12-08 05:44:37 +03:00
Sample C# client application to show how to consume the Syncfusion Dashboard Server API. https://help.syncfusion.com/dashboard-platform/dashboard-server/api/rest-api-reference
Обновлено 2022-12-07 22:50:15 +03:00
Utilities used in the experiments for the DeepCoder paper (ICLR'17)
Обновлено 2022-11-28 22:10:42 +03:00
Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)
Обновлено 2022-11-28 22:09:08 +03:00
Microsoft connected vehicle sample code for the connected vehicle platform.
Обновлено 2022-11-02 01:13:28 +03:00
A publicly hosted Cocoapods repo for mediation SDKs
Обновлено 2022-09-01 22:26:09 +03:00
This repository contains a sample of GitOps setup that supports multi-cluster and multi-tenant environments with Flux v2.
Обновлено 2022-08-30 19:25:10 +03:00
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
computer-vision
cross-platform
ai
deep-reinforcement-learning
autonomous-vehicles
control-systems
deeplearning
drones
pixhawk
platform-independent
research
self-driving-car
simulator
unreal-engine
airsim
artificial-intelligence
autonomous-quadcoptor
Обновлено 2022-07-30 02:33:04 +03:00
This repo supports an article on Azure Architecture Center for Apache Guacamole
Обновлено 2022-06-06 22:48:21 +03:00
Repo to host snippet codes for Mozilla Support Knowledge Base articles
Обновлено 2022-03-02 04:40:19 +03:00
ICLR 2021: Pre-Training for Context Representation in Conversational Semantic Parsing
Обновлено 2021-08-30 22:08:54 +03:00