< cd ../gallery
[DevTools]
Serving-Machine-Learning-Models by Nneji123
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.
@Nneji123
maintainer
★ 53 stars
# install
pip install serving-machine-learning-modelsmore FastAPI repos
DevTools
Credit Card Fraud Detection App built with Streamlit, FastAPI and Docker. Maintained by Nneji123 on GitHub, where it has earned 60 stars from the community.
4y ago
DevTools
Beautiful exception page for Starlette apps. Maintained by alex-oleshkevich on GitHub, where it has earned 102 stars from the community.
7mo ago
DevTools
OpenSource self-service infrastructure solution that defines and manages the complete lifecycle of resources used and provisioned into a cloud! It is a terraform UI with rest api for terraform and OpenTofu automation. Maintained by D10S0VSkY-OSS on GitHub, where it has earned 260 stars from the community.
1y ago