Skip to content

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

License

Notifications You must be signed in to change notification settings

NathanPang001/Generator

 
 

Repository files navigation

made-with-python Contributions welcome GitHub issues GitHub closed issues GitHub pull requests GitHub closed pull requests Gitter

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

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

About

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

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • JavaScript 81.7%
  • Python 12.3%
  • CSS 3.1%
  • HTML 2.5%
  • Shell 0.4%