Skip to content

This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

Notifications You must be signed in to change notification settings

fangsfdavid/TimeSeries_Seq2Seq

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

22 Commits
 
 
 
 

Repository files navigation

TimeSeries_Seq2Seq

This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

Instructions for Working With Notebooks:

Navigate to the directory you want the git repo to live in.

  1. Run git clone https://github.com/JEddy92/TimeSeries_Seq2Seq.git
  2. Obtain the wikipedia web traffic data from kaggle. Store it in a folder called "data" at the top level of this repo (this is where the notebooks point to when reading data).

About

This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 100.0%