This is a React+Django webapp with a simple drag and drop interface to build and configure deep neural networks with support for export of model configuration files to caffe and tensorflow. It also supports import from these frameworks to visualize different model architectures. Our motivation is to build an online IDE where researchers can share models and collaborate without having to deal with deep learning code.

GoogLeNet	ResNet

Tooltips	Edit layer parameters

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.

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 and Tensorflow already installed on your computer, skip this step

   cd Fabrik/requirements
   sh caffe_tensoflow_install.sh
   

4. Install dependencies

• For developers:

  pip install -r requirements/dev.txt
  

• Others:

  pip install -r requirements/common.txt
  

npm install

python manage.py runserver

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

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