TFTS Documentation

GitHub

TFTS (TensorFlow Time Series) supports state-of-the-art deep learning time series models for both business cases and data competitions. The package provides

• Flexible and powerful design for time series task

• Advanced SOTA deep learning models

• TFTS documentation lives at time-series-prediction.readthedocs.io

Quick Start

Visit Quick start to learn more about the package and .

• detailed installation instructions

• how to use it

Tutorials

The Tutorials section provides guidance on

• how to prepare datasets for single-value, multi-value, single-step, and multi-steps prediction

• how to use models and implement new ones.

Models

The tfts library supports the SOTA deep learning models for time series.

• TFTS BERT model wins the 3rd place in Baidu KDD Cup 2022

• TFTS Seq2Seq model wins the 4th place in Alibaba Tianchi ENSO prediction

• Learn more models

Tricks

Visit Tricks if you want to know more tricks to improve the prediction performance.