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TensorDash

<img src="readme_resources/cover_image.jpeg"> TensorDash is an application that lets you remotely monitor your deep learning model's metrics and notifies you when your model training is completed or crashed.

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Why Tensordash?

  1. Watch your model train in real-time.
  2. Supports all major deep learning frameworks.
  3. Remotely get details on the training and validation metrics.
  4. Get notified when your model has completed trainng or when it has crashed.
  5. Get detailed graphs on your model’s metrics.

Installation

Installing the Python Package

There are two ways to install tensordash:

Note: These installation steps assume that you are on a Linux or Mac environment. If you are on Windows, you will need to remove sudo to run the commands below.

sudo pip install tensor-dash

If you are using a virtualenv, you may want to avoid using sudo:

pip install tensor-dash

First, clone TensorDash using git:

git clone https://github.com/CleanPegasus/TensorDash.git

Then, cd to the TensorDash folder and run the install command:

cd TensorDash
sudo python setup.py install

Installing the Android App

Install the android app from the play store.<br> <img src="https://play.google.com/intl/en_us/badges/static/images/badges/en_badge_web_generic.png" height="30%" width="30%">

How to use

<table border="0"> <tr> <td><a href="https://cleanpegasus.github.io/TensorDash/usage/#tensorflow"><img src="readme_resources/tensorflow.png" width="" height="100px"><br><p align="center">Tensorflow</p></a></td> <td><a href="https://cleanpegasus.github.io/TensorDash/usage/#keras"> <img src="readme_resources/keras.png" width="" height="100px"><br><p align="center">Keras</p></a></td> <td><a href="https://cleanpegasus.github.io/TensorDash/usage/#pytorch"> <img src="readme_resources/pytorch.png" width="" height="100px"><br><p align="center">PyTorch</p></a></td> <td><a href="https://cleanpegasus.github.io/TensorDash/usage/#fastai"> <img src="readme_resources/fastai.png" width="" height="100px"><br><p align="center">Fast.ai</a></p> </tr> </table>

We are currently working on:

Have feedback or a feature request? Drop us a mail at tensordash@gmail.com or raise an issue on Github