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Time Series Neural Networks (Keras wrapper)

Project description

# Time Series Neural Networks

[![Build Status](https://travis-ci.org/sofienealouini/tsnn.svg?branch=master)](https://travis-ci.org/sofienealouini/tsnn) [![Coverage Status](https://coveralls.io/repos/github/sofienealouini/tsnn/badge.svg?branch=master&service=github)](https://coveralls.io/github/sofienealouini/tsnn?branch=master)

TSNN is a deep learning library for time series forecasting built on Keras/Tensorflow. It implements various RNN-based models from recent research papers.

## Getting Started

The following instructions will get you a copy of the project up and running on your local machine.

### Prerequisites

Conda will set up a virtual environment with the exact version of Python used for development along with all the dependencies needed to run TSNN.

` conda create -n tsnn python=3.6 source activate tsnn `

### Installing

Once you have activated your conda environment, you can easily install the package and all its dependencies from PyPI.

` pip install tsnn `

A comprehensive tutorial on how to use TSNN is provided PackageTesting.ipynb notebook.

## Built With

## Authors

  • Sofiene Alouini - Engineering graduate - Machine Learning Enthusiast

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