Serving-Machine-Learning-Models

This repository contains instructions, template source code and examples on how to serve/deploy machine learning models using various frameworks and applications such as Docker, Flask, FastAPI, BentoML, Streamlit, MLflow and even code on how to deploy your machine learning model as an android app. Maintained by Nneji123 on GitHub, where it has earned 53 stars from the community.

It's actively developed around docker, machine-learning, actions, and is a solid reference for anyone building with these tools.