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ASTGCN

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019

ASTGCN-r-pytorch

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version

ASTGNN

This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/9346058.

BasicTS

An Open Source Standard Time Series Forecasting Benchmark.

Clustering-based_Data_Analysis

This repo contains notebook of the Python code for performing clustering of turbines in a wind farm

energy-forecast

The repository consists of an energy forecasting model using XGboost. The dataset consists of hourly energy consumption rates in kWh for an industrial utility.

GNNPapers

Must-read papers on graph neural networks (GNN)

mlforecast

Scalable machine 🤖 learning for time series forecasting.

MSDR

Implementation for MSDR

PaddleTS

Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.

Pollution-Prediction-GNN

A repository for making models based on GNN to predict pollution levels in megacity delhi. The input is a partial data in time and space which is used along with other regional features of a location to predict pollution levels of the centres which are unrecorded.

Pyraformer

pytorch-forecasting

Time series forecasting with PyTorch

pytorch_geometric_temporal

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

StemGNN

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

STGNN

The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network

STSGT

Spatial-Temporal Synchronous Graph Transformer network (STSGT) for COVID-19 forecasting

Time-Series-Library

A Library for Advanced Deep Time Series Models.

Transformer_Time_Series

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)

TSAT

Transformer based model for time series prediction

TSF-AirPollution

Multivariate Multi-Step Time Series Forecasting Models for Air Pollution.

TSF_LSTF_Compare

Time series forecasting especially in LSTF compare，include Informer, Autoformer, Reformer, Pyraformer, FEDformer, Transformer, MTGNN, LSTNet, Graph WaveNet

wind-energy-analytics

Physics-guided data-driven solutions for the wind energy industry

xunfei