Amy Boyd's repositories
azureml-sdk-fashion
A demo and code repository showing the use of the azureml-sdk to move from creating scripted models on your dev machine to using cloud compute targets, analysing your experiment runs and hosting your models in containers
deep-learning-fashion
“I need to sort out my wardrobe” : Image classification of fashion items using Deep Learning - Microsoft Custom Vision, Azure Notebooks and Azure Data Science Virtual Machine
zero-to-ai-app
A repository with instructions on how to make an AI application using Azure Custom Vision Service, Azure Logic Apps and Microsoft Power Apps
ainights-sessionowners
A GitHub repository for session owners to access and learn content that can be delivered at AI Nights across the globe in April and September
intro-to-linux-on-azure
An introduction to running a Linux virtual machine on Azure. This workshop has been a collaboration between Researc/hers Code and Microsoft.
love-island-workshop
A repository containing all resources to learn about Python Data Visualization and calling machine learning APIs (Text Analytics).
azure-workshop-serverless-ml
An Azure workshop for getting started and using serverless and machine learning
ainights-automatedml
AI nights Automated Machine Learning train-the-trainer content
oxford-analytics-session
This repository contains code files from the Oxford University AI Course AI session from January 2022
aiml-practical-instructions
AML setup instructions for notebook vms
love-island-project
A project for applying data science to current and historical data relating to the UK ITV2 show Love Island
sort-out-my-wardrobe
Deep Learning using Azure Notebooks and Keras
5SkillsAI
5 skills AI Teams don't talk about that make them more successful Many things make AI projects a success - but what are the subtle areas that are less spoken about? In this 30 min session we will explore a new theme every 5 mins (so bring your coffee with you!). Ranging from choosing and experimenting with new AI technologies, to the importance of storytelling with data so everyone understands your project and outcomes. To illustrate each theme we will explore services and tooling from Microsoft Azure that support your AI Solutions throughout their lifecycle. This session will not be the end of your journey, but just the start - I hope to inspire you to want to learn more and help recommend some concrete next steps.
azureml-examples
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
build-hotdogapp
Instructions and images needed to create the 'Hot Dog' or 'Not Hot Dog' machine learning model
DocumentTranslator
Microsoft Document Translator
AdventureWorksCSV
AdventureWorks 2019 CSV Files
community-content
A curated collection of presentations-in-a-box created by Microsoft for speakers to use at user groups and meetups
DevOps-with-GitHub-Event-Learning-Path
The DevOps with GitHub Event Learning Path shows the DevOps journey using Azure and GitHub tools.
generative-ai-for-beginners
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
MSFabricCopilotWorkshop
This is Microsoft Fabric Copilot Workshop
promptflow
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
Workshop-Interact-with-LLMs
This repo contains the lab instructions for the workshop "Interact with LLMs".
workshop-library
A library of workshops written by and for Microsoft Learn Student Ambassadors and Cloud Advocates and their local communities