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TiDE-Applications

A unofficial pytorch implementation of "Long-term Forecasting with TiDE: Time-series Dense Encoder" and its sample code of applications

TiDE Model

Usage

  1. Config model

    edit the config.yaml in config folder

  2. Train

    python3 train.py --name name --dataset traffic

    In order to use a different dataset you need to customize data_utils.py

TODO

Warning: This repository is not finished now, only the network code is done. Sample code of own dataset is not finished now.

  • Network code
  • Utils code
    • basic utils
    • scheduler
    • data_utils
    • time series dataset
  • train and eval
    • logger and summary
  • sample code of own dataset