GitHub topics: azure-mlstudio

Repositories

retkowsky/spot_the_difference

Spot the difference between two images using image analysis python code

Language: Jupyter Notebook - Size: 19.5 MB - Last synced at: 23 days ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 1

holgerimbery/devcontainer_azure_ml_experiments

Azure Machine Learning in a remote development environment with visual studio code

Language: Dockerfile - Size: 6.84 KB - Last synced at: 13 days ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

priyanka-maz/AI-Career-Recommender

AI Powered Career Recommender using Flask, Azure ML, Azure Logic Apps, Azure Static Web Pages

Language: HTML - Size: 725 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

SaM-92/Azure_ML_Energy_Predict

Language: Jupyter Notebook - Size: 4.09 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

CodeWithPraveen/labs-azureml-portal

Repo for the "Managing an Azure ML Workspace using Azure Portal" lab

Size: 3.91 KB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 1

richardvlas/Operationalizing-Machine-Learning

In this project we use Microsoft Azure Cloud Computing Services to configure a cloud-based machine learning production model, deploy it, and consume it. We will also create, publish, and consume a pipeline.

Language: Jupyter Notebook - Size: 1.19 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

singh2010nidhi/Operationalizing-Machine-Learning-using-MSAzure

In this project we use Microsoft Azure to configure and deploy a cloud based Machine Learning model. We also see how to create, publish and consume a pipeline using Azure SDK.

Language: Jupyter Notebook - Size: 2.27 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0