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ailab

Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

apperta.org

Apperta Foundation Website

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

aws-sdk-java

The official AWS SDK for Java.

azure-repos-vscode

Azure Repos extension for VS Code

azure-workshop-serverless-ml

An Azure workshop for getting started and using serverless and machine learning

azuredevopslabs

Learn how you can plan smartly, collaborate better, and ship faster with a set of modern development services with Azure DevOps.

azureml-examples

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

c4h-platform-portal-backend

inidus Platform backend development

code4health-frontend

codelab-textclassification-android

convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

cucumberextentreporter

A plugin to generate the cucumber jvm custom html report using ExtentsReport

deepepilepsy

deeplearning.ai-tensorflow-developer-course

DeepLearning.AI TensorFlow Developer Professional Certificate -Coursera

dlaicourse

Notebooks for learning deep learning

dockerlabs

Docker - Beginners | Intermediate | Advanced

documenttranslator

Microsoft Document Translator

fhir-epma-implementation

funcode

Repository for bits and pieces I'm working on

health-architectures

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

innereye-deeplearning

Medical Imaging Deep Learning library to train and deploy models on Azure Machine Learning

intelligent-video-analytics-with-nvidia-jetson-and-microsoft-azure

A repository demonstrating an end-to-end architecture for Intelligent Video Analytics using NVIDIA hardware with Microsoft Azure

java-for-testers

serenity-dojo

machine-learning-patient-risk-analyzer-sa

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.

metagpt

🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo

ml-seizurenet

mslearn-ai900

Lab files for AI-900: Azure AI Fundamentals

openehr-care-connect-adaptor

openehr-care-connect-demo