shravankumar147/Fabrik

Fabrik – Collaboratively build, visualize, and design neural nets in the browser

Fabrik is an online collaborative platform to build, visualize and train deep learning models via a simple drag-and-drop interface. It allows researchers to collaboratively develop and debug models using a web GUI that supports importing, editing and exporting networks written in widely popular frameworks like Caffe, Keras, and TensorFlow.

Interface

This app is presently under active development and we welcome contributions. Please check out our issues thread to find things to work on, or ping us on Gitter.

How to setup

1. First set up a virtualenv

   sudo apt-get install python-pip python-dev python-virtualenv 
   virtualenv --system-site-packages ~/Fabrik
   source ~/Fabrik/bin/activate
   

2. Clone the repository

   git clone --recursive https://github.com/Cloud-CV/Fabrik.git
   

3. If you have Caffe, Keras and Tensorflow already installed on your computer, skip this step

   • For Linux users

     cd Fabrik/requirements
     sh caffe_tensorflow_keras_install.sh
     

   • For Mac users
     • Install Caffe
     • Install Tensorflow
     • Install Keras

4. Install dependencies

• For developers:

  pip install -r requirements/dev.txt
  

• Others:

  pip install -r requirements/common.txt
  

5. Install postgres >= 9.5

• Setup postgres database

    psql -c "CREATE DATABASE fabrik" -U postgres
    psql -c "CREATE USER admin WITH PASSWORD 'fabrik'" -U postgres
    psql -c "ALTER ROLE admin SET client_encoding TO 'utf8'" -U postgres
    psql -c "ALTER ROLE admin SET default_transaction_isolation TO 'read committed'" -U postgres
    psql -c "ALTER ROLE admin SET timezone TO 'UTC'" -U postgres
    psql -c "ALTER USER admin CREATEDB" -U postgres
  

• Migrate

  python manage.py makemigrations caffe_app
  python manage.py migrate
  

6. Install node modules

npm install
webpack --progress --watch --colors

Usage

KERAS_BACKEND=theano python manage.py runserver

Example

• Use example/tensorflow/GoogleNet.pbtxt for tensorflow import
• Use example/caffe/GoogleNet.prototxt for caffe import
• Use example/keras/vgg16.json for keras import

License

This software is licensed under GNU GPLv3. Please see the included License file. All external libraries, if modified, will be mentioned below explicitly.