This GitHub contains course materials related to Designing and Architecting Intelligent Agents
Scenarios, tutorials and demos for Autonomous Driving
Magic functions for using Jupyter Notebook with Azure Data Service
Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)
Example Notebooks for Azure Machine Learning
Repo for publishing code Samples and CLI samples for BatchAI service
Notebooks for the Azure ML Text Analytics Package
This repo aims to showcase how to deploy deep learning models.
Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
Deep Learning for Language Workshop prepared for the AI For Social Good Summer Lab, 2018
Campaign optimization solution with SQL Server R Services
This repo has moved :house: Visit our website for the latest SDKs & Samples
ImplementAI Workshop on Deep NLP for Question Generation
This repository contains training materials around AI on IaaS++
Sample of how to develop & deploy image classification models using Azure ML package for Computer Vision and Team Data Science Process (TDSP)
This repo contains Azure Machine Learning Package for Computer Vision scripts for retinal OCT image classification.