Guidance and sample code to perform at-scale onboarding of servers to Arc via Group Policy
Обновлено 2024-11-21 12:43:59 +03:00
The Azure Landing Zones (Enterprise-Scale) architecture provides prescriptive guidance coupled with Azure best practices, and it follows design principles across the critical design areas for organizations to define their Azure architecture
Обновлено 2024-11-21 04:12:46 +03:00
Testing and validation scenarios for https://github.com/dotnet/arcade
Обновлено 2024-11-21 02:03:32 +03:00
The Azure App Service landing zone accelerator is an open-source collection of architectural guidance and reference implementation to accelerate deployment of Azure App Service at scale.
Обновлено 2024-11-20 22:31:08 +03:00
This project seeks to establish conformance of different platforms/distributions with Azure Arc
Обновлено 2024-11-20 20:18:55 +03:00
Microsoft Fluent UI Blazor components library. For use with .NET 6.0 or higher Blazor applications
Обновлено 2024-11-20 13:03:23 +03:00
CodeQL: the libraries and queries that power security researchers around the world, as well as code scanning in GitHub Advanced Security
Обновлено 2024-11-20 03:21:24 +03:00
A modular services stack that facilitates remote Linux devices management over Azure
Обновлено 2024-11-20 01:22:01 +03:00
Tools that provide common build infrastructure for multiple .NET Foundation projects.
Обновлено 2024-11-19 22:53:42 +03:00
Enterprise-scale for AVS represents the strategic design path and target technical state for an Azure VMware Solution (AVS) deployment. This solution provides an architectural approach and reference implementation to prepare landing zone subscriptions for a scalable Azure VMware Solution (AVS) cluster.
lza
Обновлено 2024-11-19 21:45:29 +03:00
An accelerator to help organizations build Trusted Research Environments on Azure.
Обновлено 2024-11-19 15:42:37 +03:00
Arcade Engineering Services
Обновлено 2024-11-19 13:14:06 +03:00
[ACL 2022] A hierarchical table dataset for question answering and data-to-text generation.
Обновлено 2024-11-19 03:32:30 +03:00
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.
Обновлено 2024-11-18 23:05:01 +03:00
Arcade game editor based on Microsoft MakeCode
Обновлено 2024-11-18 22:21:00 +03:00
This repository contains the Azure Landing Zones (ALZ) Bicep modules that help deliver and deploy the Azure Landing Zone conceptual architecture in a modular approach. https://aka.ms/alz/docs
Обновлено 2024-11-18 21:06:30 +03:00
.NET SDK, Schema and Connectors: Revit, Rhino, Grasshopper, Dynamo, ETABS, AutoCAD, Civil3D & more.
Обновлено 2024-11-18 19:11:06 +03:00
Documentation on everything Speckle
Обновлено 2024-11-18 14:56:02 +03:00
🔍 Index the content of your files
Обновлено 2024-11-18 03:49:13 +03:00
🔍 Use Elasticsearch to index the content of your Nextcloud
Обновлено 2024-11-17 21:42:50 +03:00
Graph-structured Indices for Scalable, Fast, Fresh and Filtered Approximate Nearest Neighbor Search
Обновлено 2024-11-15 07:57:42 +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
QGIS Connector for Speckle 2.0
Обновлено 2024-11-13 18:28:04 +03:00
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
Обновлено 2024-11-13 06:41:06 +03:00
The Azure API Management landing zone accelerator provides an architectural approach and reference implementation to prepare landing zone subscriptions for a scalable API Management infrastructure.
Обновлено 2024-11-12 18:08:41 +03:00