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Starred repositories
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
An opinionated end-to-end data governance implementation.
Prescriptive MLOps scenarios for building, deploying and monitoring machine learning models with Azure Databricks.
Rules to validate Azure resources and infrastructure as code (IaC) using PSRule.
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 …
😎 Awesome list of tools and projects with the awesome LangChain framework
AI-Powered-Call-Center-Intelligence powered by Azure AI (including Azure OpenAI GPT-3)
Business process automation solution accelerator using Azure services
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.
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Official Code for DragGAN (SIGGRAPH 2023)
ORM for TypeScript and JavaScript. Supports MySQL, PostgreSQL, MariaDB, SQLite, MS SQL Server, Oracle, SAP Hana, WebSQL databases. Works in NodeJS, Browser, Ionic, Cordova and Electron platforms.
Examples and guides for using the OpenAI API
Serverless api deployment with Databricks using amazon reviews public dataset
🦜🔗 Build context-aware reasoning applications
workshop materials to build intelligent solutions on Open AI
Curated list of design and UI resources from stock photos, web templates, CSS frameworks, UI libraries, tools and much more
Integrate cutting-edge LLM technology quickly and easily into your apps
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…
Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker
This repo provides a customizable stack for starting new ML projects on Databricks that follow production best-practices out of the box.
Prescriptive MLOps scenarios for building, deploying and monitoring machine learning models with Azure Machine Learning.
Code samples for the book "Practical Azure SQL Database for Modern Developers"
A collection of Chakra UI-related awesomeness
This repository contains a demo of how condition-based alerting could work with Azure Data Explorer.