vrindagupta6828/generator

Auto-DL helps you make Deep Learning models without writing a single line of code and giving as little input as possible.

Generator

Interface part of Auto-DL. Contains front-end (React) and backend (DJango Rest Framework) servers. The backend calls the DLMML API according to the request it recieved.

Generator has DLMML as a submodule.

How to run

1. # clone the repo
   git clone https://github.com/Auto-DL/Generator.git
   git submodule init
   git submodule update

2. Activate your environment (not compulsory but highly recommended)

3. # install the requirements, this might take some time, be patient
   pip install requirements.txt

4. # If you think your machine can handle a simulatenous installation of node modules, open another terminal    
   
   cd FrontEndApp
   npm install
   
   # go grab a cup of coffee, it takes an eternity XD

5. Place data in the ./DLMML/data directory

6. # run the backend 
   # only after all requriements from requirements.txt are installed
   cd BackEndApp
   python manage.py runserver
   # you can ignore any migration warnings

7. # finally, run the react frontend
   # on a new terminal tab
   cd FrontEndApp
   npm start

Note: For detailed instruction on data directory (point 5) please read DLMML's User Guide

Demo

Where to go next?

To know more about the project and initiative, please visit our website

Curious to know about the DLMML API? Here, Have a look :)

Note

• To know more about the technicalities of the project, read the our developer guidelines.
• For more detailed instructions to run the Generator part. Read our User guidelines

Contributing

Please take a look at our contributing guidelines if you're interested in helping!

Features/Enhancements Planned

• Improve the UI and UX

• Show model training realted stats on the front-end

• Input form to contain the dataset path and other essential parameters

• Visualization and data preprocessing steps

• Model Explainability