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AI-enabled physician assistant for automated clinical summarization and question generation. Empowering physicians to achieve accurate diagnoses and effective treatments.
Repository containing the Articles on azure.microsoft.com Documentation Center
Complete end to end sample of doing DevOps with Azure Databricks
Open source documentation of Microsoft Azure
Azure Analytics End to End with Azure Synapse - Deployment Accelerator
Business process automation solution accelerator using Azure services
Using deep learning and machine learning to predict Cardiovascular disease(CVD)
Labs for Course DP-100: Designing and Implementing Data Science Solutions on Microsoft Azure
This is a classification solution accelerator to help you build and deploy a binary classification project.
Azure plugins for Feast (FEAture STore)
Health Architectures is a collection of reference architectures and, when appropriate, implementations. They illustrate end-to-end best practices for using the Azure API for FHIR and related technologies
Machine Learning Patient Risk Analyzer Solution Accelerator is an end-to-end (E2E) healthcare app that leverages ML prediction models (e.g., Diabetes Mellitus (DM) patient 30-day re-admission, breast cancer risk, etc.) to demonstrate how these models can provide key insights for both physicians and patients. Patients can easily access their appointment and care history with infused cognitive services through a conversational interface. In addition to providing new insights for both doctors and patients, the app also provides the Data Scientist/IT Specialist with one-click experiences for registering and deploying a new or existing model to Azure Kubernetes Clusters, and best practices for maintaining these models through Azure MLOps.
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
Microsoft Cloud Workshop Azure Synapse Analytics and AI
Predicting 30-day ICU readmissions from the MIMIC-III database
Examples and guides for using the OpenAI API
Hospital readmission prediction using machine learning methods
Data and AI samples for 2022
Samples for Azure Synapse Analytics
Azure Synapse Analytics Samples
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.