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awesome-timeseries-spatiotemporal-diffusion-model

A list of current Diffusion Model for Time Series and SpatioTemporal Data with awesome resources (paper, application, review, survey, etc.).

brits

ceemdan_lstm

CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.

demand_forecast

带TPA-LSTM的CSV数据集

e2egan

E2EGAN

etdataset

电力变压器数据集

gain

Codebase for Generative Adversarial Imputation Networks (GAIN) - ICML 2018

gp-vae

TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155

grin

"Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)

lstnet-pytorch

LSTNet-pytorch

lstnet-tensorflow

A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper

mtgnn

Connecting the Dots

mtgode

[TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".

multivariate-time-series-data

数据集

multivariate-time-series-imputation-with-generative-adversarial-networks

GAN

pristi

pygt-grudemo

PyTorch Geometric Temporal 急速入门

saits

The official code repository of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) model with efficiency for multivariate time-series imputation. https://doi.org/10.1016/j.eswa.2023.119619

scnn

时间序列分解

sssd

Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'

stgcn

The PyTorch version of STGCN.

stgcn_ijcai-18

[IJCAI'18] Spatio-Temporal Graph Convolutional Networks

t-gcn

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

timegrad

Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series to benchmark datasets from different domains

tpa-lstm

Temporal Pattern Attention for Multivariate Time Series Forecasting

transdim

插补