# Time Series Neural Networks
[](https://travis-ci.org/sofienealouini/tsnn) [](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
[Keras](http://www.dropwizard.io/1.0.2/docs/) - High level Deep Learning library running on top of Tensorflow / Theano / CNTK
[Tensorflow](https://maven.apache.org/) - Library for numerical computation, chosen as Keras backend in TSNN.
## Authors
Sofiene Alouini - Engineering graduate - Machine Learning Enthusiast
1 maintainer
Metadata
1 maintainer
Release files for tsnn 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tsnn-0.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Release files / tsnn-0.1.3-py3-none-any.whl
| Download URL | tsnn-0.1.3-py3-none-any.whl |
|---|---|
| Size | 18.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
c9ee47581d1326186e149dc078ce79e105328661a13e16265c7e7b4d8c66132e
|
|
BLAKE2b-256 checksum How to use checksums |
37db310eaffed93c7aa731357578e952462606080496e8889605bf20b06f2bb2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
](https://travis-ci.org/sofienealouini/tsnn){kind=link}
](https://coveralls.io/github/sofienealouini/tsnn){kind=link}