Skip to main content

Time Series Neural Networks (Keras wrapper)

Project description

# Time Series Neural Networks

[![Build Status](]( [![Coverage Status](](

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

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for tsnn, version 0.1.3
Filename, size File type Python version Upload date Hashes
Filename, size tsnn-0.1.3-py3-none-any.whl (18.5 kB) File type Wheel Python version py3 Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page