Nicholas Moore's starred repositories
PSRule.Rules.Azure
Rules to validate Azure resources and infrastructure as code (IaC) using PSRule.
azure-openai-samples
Azure OpenAI Samples is a collection of code samples illustrating how to use Azure Open AI in creating AI solution for various use cases across industries. This repository is mained by a community of volunters. We welcomed your contributions.
awesome-langchain
😎 Awesome list of tools and projects with the awesome LangChain framework
AI-Powered-Call-Center-Intelligence
AI-Powered-Call-Center-Intelligence powered by Azure AI (including Azure OpenAI GPT-3)
business-process-automation
Business process automation solution accelerator using Azure services
Knowledge-Mining-with-OpenAI
accelerate the deployment of a Python-based Knowledge Mining solution with OpenAI and use that engine to answer queries / questions specific to that Knowledge Base.
Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
openai-cookbook
Examples and guides for using the OpenAI API
amazon-reviews-databricks
Serverless api deployment with Databricks using amazon reviews public dataset
azure-databricks-mlops-example-scenarios
Prescriptive MLOps scenarios for building, deploying and monitoring machine learning models with Azure Databricks.
OpenAIWorkshop
workshop materials to build intelligent solutions on Open AI
design-resources-for-developers
Curated list of design and UI resources from stock photos, web templates, CSS frameworks, UI libraries, tools and much more
semantic-kernel
Integrate cutting-edge LLM technology quickly and easily into your apps
azure-openai-workshop
This is a code repository initially for Azure OpenAI In a Day workshop. We wanted to share this code with everyone in order to build better AI solutions using Azure OpenAI services. This repository is maintained by community volunteers. If you would like to contribute, please feel free to create a pull request. Thank you all for your contribution.
mlops-amazon-sagemaker
Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker
mlops-stacks
This repo provides a customizable stack for starting new ML projects on Databricks that follow production best-practices out of the box.
azureml-mlops-example-scenarios
Prescriptive MLOps scenarios for building, deploying and monitoring machine learning models with Azure Machine Learning.
practical-azure-sql-db-for-modern-developers
Code samples for the book "Practical Azure SQL Database for Modern Developers"
awesome-chakra-ui
A collection of Chakra UI-related awesomeness
azure-data-explorer-condition-based-alerting
This repository contains a demo of how condition-based alerting could work with Azure Data Explorer.
powerbiadoption
Power BI Adoption Framework
ray-on-aml
Turning AML compute into Ray cluster
MLOpsTemplate
Providing tools and templates to facilitate modern MLOps practices