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About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pdf?id=ju_Uqw384Oq

675 60 Updated Apr 2, 2024

A Library for Advanced Deep Time Series Models.

Python 6,115 983 Updated Sep 1, 2024

PyTorch implementation of AirFormer, AAAI-23

Python 96 22 Updated Dec 29, 2022
Jupyter Notebook 4 1 Updated Aug 24, 2024

[ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks

Python 68 4 Updated Apr 1, 2024

Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting

Python 491 114 Updated May 31, 2024
Python 16 2 Updated Jan 19, 2022
Jupyter Notebook 1 1 Updated Aug 21, 2024
Jupyter Notebook 1 Updated Aug 21, 2024

The official code for "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)". TEMPO is one of the very first open source Time Series Foundation Models for …

Python 40 6 Updated Jul 8, 2024

Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

Python 855 163 Updated Mar 3, 2023
Python 56 12 Updated Jun 13, 2024
Python 6 1 Updated Jan 21, 2022

Official implementation for "UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction" (KDD 2024)

Python 78 11 Updated Aug 22, 2024

[IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting

Python 85 7 Updated May 3, 2024

Code for our CIKM'22 paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.

Python 177 24 Updated Jun 13, 2024
Python 72 19 Updated Nov 26, 2023

AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting

Python 337 99 Updated Feb 4, 2020

Code for the paper "Adaptive Transformers for Learning Multimodal Representations" (ACL SRW 2020)

Jupyter Notebook 42 8 Updated Oct 20, 2022

This is an official implementation for "Are Transformers Effective for Time Series Forecasting?"

Python 13 3 Updated Jul 27, 2023

The entmax mapping and its loss, a family of sparse softmax alternatives.

Python 406 43 Updated Jun 22, 2024

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

Python 1,166 157 Updated Jul 26, 2024

Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion" in PyTorch.

Python 126 12 Updated Jun 23, 2024

Repository for "FreDF: Learning to Forecast in the Transformed Domain"

Shell 49 4 Updated Jul 3, 2024
Python 110 18 Updated May 7, 2024

Cuda implementation of Extended Long Short Term Memory (xLSTM) with C++ and PyTorch ports

C++ 68 10 Updated Jun 10, 2024

This repository will be posting analytic continual learning series, including Analytic Class-Incremental Learning (ACIL), Gaussian Kernel Embedded Analytic Learning (GKEAL), Dual-Stream Analytic Le…

Python 182 14 Updated Aug 23, 2024
Python 42 14 Updated Oct 2, 2018

Graph Neural Network Library for PyTorch

Python 20,879 3,606 Updated Aug 30, 2024
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