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e2e-demo's Introduction

End-to-End Machine Learning Project

This repository is an introductory project of end-to-end machine learning, where the different stages of a Machine Learning project lifecycle are discussed.

This repo contains different Folder :

  • data : Contains all the data used for the training part.

  • notebooks : Contains training notebook

  • src : We have the script to launch gradio and streamlit for the demo part

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

install the dependencies for this project by running the following commands in your terminal:

 pip install -r requirements.txt

run the gradio_demo by running the following command in your terminal:

python src/gradio_demo.py 

run the streamlit_demo by running the following command in your terminal:

streamlit run src/streamlit_demo.py 

Ressources

What is end-to-end deep learning?

Machine Learning Engineering for Production (MLOps)

A Review of the Neural History of Natural Language Processing

Gradio

Streamlit

e2e-demo's People

Contributors

abdouaziz avatar

Watchers

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