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azure-docs

Open source documentation of Microsoft Azure

azure-machinelearning-datascience

azureml-workshop-2019

AzureML Workshop for the 2019 Euro Tour

bert-stack-overflow

Train a BERT model with TensorFlow 2.0 to automatically tag StackOverflow questions!

caret

caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

databricksandmlops

Demonstrating Azure ML and Azure Databricks DevOps Patterns

fastai

The fastai deep learning library, plus lessons and and tutorials

fsdl-text-recognizer-project

gen-cv

Vision AI Solution Accelerator

git-mlops

first template copy of ml-template-azure

ignite-learning-paths-training-aiml

Microsoft Ignite Learning Path, Train the Trainer materials: Developers Guide to AI

magenta

Magenta: Music and Art Generation with Machine Intelligence

mlops-ado-adb

Introductory workshop on MLOps using ADO and Azure Databricks, inspired by github.com/microsoft/MLOpsTemplate repo

mlops-templates

mlopstemplate

Providing tools and templates to facilitate modern MLOps practices

mrnet-fastai

Deep Learning CNN using FastAI for the Stanford MRNet Knee MRI diagnosis challenge

mslearn-mlops

repo from MicrosoftLearning/mslearn-mlops

openai

The repository for all Azure OpenAI Samples complementing the OpenAI cookbook.

pipelines-azureml

Example Azure Pipeline to train and deploy a machine learning model using the Azure Machine Learning service

pizzashop-and-ai

Playing off of Andrew Ng's TED talk on the business value of AI and his pizza shop example

realtimerdeployment

Sample code for deploying R model for real-time scoring on Azure

scikit-learn

scikit-learn: machine learning in Python

sql-docs

Technical documentation for Microsoft SQL Server, tools such as SQL Server Management Studio (SSMS) , SQL Server Data Tools (SSDT) etc.

starter-sk-python-functions

tensorflow

Computation using data flow graphs for scalable machine learning

trunkbased-mlops

This repository showcases how to implement trunk-based development workflow while working in a Machine Learning project.