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Name: Nicholas Moore
Type: User
Company: @Microsoft
Location: Melbourne, Australia
Name: Nicholas Moore
Type: User
Company: @Microsoft
Location: Melbourne, Australia
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Example notebooks walking through foundational concepts relating to the use of the Azure Open AI service.
Open Source documentation for the Azure Architecture Center on Microsoft Docs
Number plate recognition proof of concept using Azure Cognitive Services
This repository contains a demo of how condition-based alerting could work with Azure Data Explorer.
Prescriptive guidance for building, deploying, and monitoring machine learning models with Azure Databricks using containers in line with MLOps principles and practices.
Prescriptive MLOps scenarios for building, deploying and monitoring machine learning models with Azure Databricks.
Open source documentation of Microsoft Azure
This project demonstrates a small-scale proof-of-concept deployment of an enterprise chatbot leveraging the power of Azure OpenAI and Azure AI Search, built and deployed using Streamlit. Utilizing the Retrieval-Augmented Generation (RAG) pattern.
Prompt engineering experiments with Azure OpenAI using GPT-3.5-turbo
Azure Quickstart Templates
This repository contains notebooks to support a developer-focused hands-on self-directed hackathon that demonstrates how to use the Azure ML Feature Store to manage and share features.
Prescriptive MLOps scenarios for building, deploying and monitoring machine learning models with Azure Machine Learning.
Simple MLOps template for batch scoring using Azure Machine Learning and Azure DevOps
Simple MLOps templates for real time or batch scoring workflow using Azure Machine Learning and Azure DevOps
Simple template for a data science platform using Azure Machine Learning
Simple MLOps template for real time model deployments using Azure Machine Learning and Azure DevOps
Foundational DevOps sessions targeted towards Data & AI Cloud Solution Architects of Australia
Artifacts for the Model Interpretability and Data Drift meetup talk from the Citizen Data Scientists Melbourne group
DataOps for the Modern Data Warehouse on Microsoft Azure. https://aka.ms/mdw-dataops.
🍕 This is a project to identify your next open source contribution.
Optimized creation and maintenance of search index that can be used by GenAI applications to provide context for LLMs to answer user queries. This repo will be setup to work on public websites.
Power BI Adoption Framework
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.