TensorMap is a web application that will allow the users to create machine learning algorithms visually. TensorMap supports reverse engineering of the visual layout to a Tensorflow implementation in preferred languages. The goal of the project is to let the beginners play with machine learning algorithms in Tensorflow without less background knowledge about the library. For more details about the project, read our project wiki.

Follow these steps to set up TensorMap on your local machine.

First clone this repo by running

git clone https://github.com/scorelab/TensorMap.git

• Node.js
• Yarn
• Npm

cd TensorMap
yarn install
npm start

First make sure you have MySQL server and Python 3.x installed in your system.

Then, go into 'tensormap-server' folder

cd TensorMap
cd tensormap-server

Then, install all the required packages by running

pip install -r requirements.txt

Next, login to MySQL and create a database named 'tensormap'

mysql -u <user> -p
CREATE DATABASE tensormap;

Then in the 'init' file that is inside the 'app' folder, replace the database connection string with your username and password

app.config['SQLALCHEMY_DATABASE_URI'] = "mysql://<user>:<password>@localhost/tensormap"

Next, restore the sql dump

mysql -u {user} -p -Dtensormap < {path-to-dump-file}/dump.sql

To start the server run

python run.py

• Reactjs : Frontend
• Flask : Backend
• TensorFlow - Keras : Model implemetation

Please read 'Note to Contributors' in project wiki for more details.

This project is licensed under the MIT License - see the LICENSE.md file for details