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An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

Python 2,026 344 Updated Aug 12, 2024

[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"

Python 1,668 197 Updated May 6, 2025

including unet,unet++,attention-unet,r2unet,cenet,segnet ,fcn.

Python 805 140 Updated Feb 11, 2020

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

Python 2,252 476 Updated Jan 27, 2024

A Library for Advanced Deep Time Series Models.

Python 9,300 1,496 Updated Jun 6, 2025