Thanks to visit codestin.com
Credit goes to github.com

Skip to content
/ ML-API Public
forked from MaartenGr/ML-API

Guide on creating an API for serving your ML model

Notifications You must be signed in to change notification settings

vader87/ML-API

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Deploying your Machine Learning Model

This repository contains code and instructions on how to deploy your machine learning model using a production-ready API.

I am using FastAPI + Uvicorn to serve the model which creates automatic documentation using OpenAPI (Swagger) and ReDoc.

The Dockerfile is included if you would like to containerize the application and deploy it on the cloud.

About

Guide on creating an API for serving your ML model

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 62.9%
  • Python 29.7%
  • Dockerfile 7.4%