lqdev/mlnetacidemo

Deploying .NET Machine Learning Models with ML.NET, ASP.NET Core, Docker and Azure Container Instances (ACI)

36
/ 100
Emerging

This project helps software developers deploy machine learning models built with ML.NET as a web service. It takes an ML.NET model and exposes it via an ASP.NET Core Web API, packaged into a Docker container. The output is a running, accessible API endpoint hosted on Azure, ready for client applications to send data and receive predictions. This is for developers or MLOps engineers responsible for operationalizing .NET-based ML models.

No commits in the last 6 months.

Use this if you are a developer looking for a concrete example to deploy a machine learning model built with ML.NET as a scalable web service using Docker and Azure Container Instances.

Not ideal if you are not a developer and are looking for a no-code solution, or if your machine learning models are not built using the ML.NET framework.

Machine Learning Deployment .NET Development API Development Cloud Deployment Containerization
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 15 / 25

How are scores calculated?

Stars

9

Forks

5

Language

C#

License

MIT

Last pushed

Aug 10, 2018

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/lqdev/mlnetacidemo"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.