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
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
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
What is end-to-end deep learning?
Machine Learning Engineering for Production (MLOps)
A Review of the Neural History of Natural Language Processing