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 repository provides instructions, template source code, and examples for serving and deploying machine learning models using various frameworks and applications such as Docker, Flask, FastAPI, BentoML, Streamlit, and MLflow. It also includes code on how to deploy machine learning models as an Android app and how to deploy applications to various cloud platforms (AWS, Heroku, Vercel). The repository covers topics like version control, testing, and working with Docker.
Flask is a lightweight and popular web framework for Python, known for its simplicity and flexibility. It is widely used to build web applications, providing a minimalistic approach to web development with features like routing, templates, and support for extensions.
HTML templates are pre-designed and pre-built web pages that can be customized and used as a basis for building websites. They often include common elements such as headers, footers, menus, and content sections, and can be easily edited using HTML and CSS to fit specific branding and content needs.
A website that uses Docker for containerization to streamline development, testing, and deployment workflows. This includes features such as containerization of dependencies, automated builds and deployments, and container orchestration to ensure scalability and availability.