Repositories (7)
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.
This project demonstrates the integration of FastAPI, SQLModel, PostgreSQL, Redis, Next.js, Docker, and Docker Compose, showcasing essential API features like rate limiting, pagination, logging, and metrics using Prometheus and Grafana.
Credit Card Fraud Detection App built with Streamlit, FastAPI and Docker.
Plant Disease Detection model built with Keras and FastAPI
COE 505 Software Engineering Project (Fullstack, Flask, HTML, CSS, JS, Postgres)
A Repository Template for Serving html with FastAPI.
Password Generator and Hashing + Salting tool. Built entirely with python.