Benman1 Time Series Save

Time-Series models for multivariate and multistep forecasting, regression, and classification

Project README

Time-Series

time-series is a Python module for machine learning for time-series built on top of tensorflow and is distributed under the MIT license.

This repository was created as a companion repository for chapter 12, Multivariate Forecasting, of the book Machine Learning for Time-Series with Python.

Tensorflow implementations of Time-Series models including these:

  • Amazon DeepAR
  • Gaussian Processes
  • LSTM
  • TCN
  • Transformer, and
  • NBEATS

The time_series.dataset package, part of this library, includes utility functions for loading datasets.

Please see the example notebook for usage and training results.

Installation

pip install git+https://github.com/benman1/time-series.git

Contribute

Pull requests welcome!

List of Contributors

Contributions from various people have found their way into this repository. Thanks to everyone for their hard work!

Open Source Agenda is not affiliated with "Benman1 Time Series" Project. README Source: benman1/time-series

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