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Time Series Neural Networks (Keras wrapper)

Project description

# Time Series Neural Networks

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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

Project details

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Filename, size & hash SHA256 hash help File type Python version Upload date
tsnn-0.1.3-py3-none-any.whl (18.5 kB) Copy SHA256 hash SHA256 Wheel py3 Nov 8, 2017

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