SATO Naoki (Neo) (satonaoki)

satonaoki

Geek Repo

Company:Microsoft

Location:Tokyo

Home Page:https://satonaoki.wordpress.com/

Twitter:@satonaoki

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Organizations
Azure
MicrosoftDXJapan

SATO Naoki (Neo)'s repositories

ProgrammingMicrosoftAzureServiceFabric

Programming Microsoft Azure Service Fabric

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ignite-learning-paths-training-apps

Microsoft Ignite Learning Path, Train the Trainer materials: Developing Cloud Native Applications

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TailwindTraders-Website

Tailwind Traders Website

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api

API definitions for the Istio project

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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.

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azure-quickstart-templates

Azure Quickstart Templates

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azure-sdk-for-net

This repository is for active development of the Azure SDK for .NET. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/en-us/dotnet/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-net.

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azurechat

🤖 💼 Azure Chat Solution Accelerator powered by Azure OpenAI Service

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containerapps-albumapi-csharp

Container Apps Quickstart: C# Album API

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containerapps-albumui

Container Apps Quickstart: Album UI

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ContosoRepo

This repo contains the notebooks used in the Build 2020 session INT125 Building scalable and secure applications with Azure Cosmos DB.

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cosmos-chat

Regular Chat Application with multiple chat sessions and multiple users

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CosmosDBAutoScale

Simple autoscaler Azure Function for Azure Cosmos DB

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detect-secrets

An enterprise friendly way of detecting and preventing secrets in code.

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generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

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istio.io

Source for the istio.io site

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MachineLearningNotebooks

Use the sample notebooks in this repo to explore the Azure Machine Learning service. Start with the 01.getting-started notebooks.

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MCW-Machine-Learning

Machine Learning

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MinimumViableDataspace

Guidance on documentation, scripts and integration steps on using the EDC project results

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MLOpsManufacturing

Demonstrate samples and good engineering practice for operationalizing machine learning solutions.

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MLOpsPython

MLOps using Azure ML Services and Azure DevOps

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Prompt-Engineering-Guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

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RockPaperScissorsLizardSpock

Rock, Paper, Scissors, Lizard, Spock - Sample Application

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