spatio-temporal-prediction
There are 51 repositories under spatio-temporal-prediction topic.
ddz16/TSFpaper
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
LibCity/Bigscity-LibCity
LibCity: An Open Library for Urban Spatial-temporal Data Mining
lixus7/Time-Series-Works-Conferences
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
StanfordASL/Trajectron-plus-plus
Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).
wherobots/GeoTorchAI
GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale
TorchSpatiotemporal/tsl
tsl: a PyTorch library for processing spatiotemporal data.
aptx1231/Traffic-Prediction-Open-Code-Summary
Summary of open source code for deep learning models in the field of traffic prediction
LibCity/Bigscity-LibCity-PaperList
Paper list in traffic prediction field
BUAABIGSCity/PDFormer
[AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.
LibCity/Bigscity-LibCity-Datasets
Traffic data processing tools in LibCity
HKUDS/UrbanGPT
[KDD'2024] "UrbanGPT: Spatio-Temporal Large Language Models"
yoshall/GeoMAN
Tensorflow Implementation of GeoMAN, IJCAI-18
Echo-Ji/ST-SSL
ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
snehasinghania/STResNet
A TensorFlow Implementation of Deep Spatio-Temporal Residual Networks (ST-ResNet): https://arxiv.org/abs/1610.00081
NickHan-cs/Spatio-Temporal-Data-Mining-Survey
Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.
Mouradost/STGM
STGM: Spatio-Temporal Graph Mixformer for Traffic Forecasting
gengdd/Awesome-Time-Series-Spatio-Temporal
Awesome Time-Series and Spatio-Temporal Related
wengwenchao123/DDGCRN
[Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting
HKUDS/GPT-ST
[NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"
martinwhl/T-GCN-PyTorch
A PyTorch implementation of T-GCN
IntelligentSystemsLab/ST-EVCDP
This is a real-world dataset of 18,061 public electric vehicle (EV) charging piles for spatio-temporal charging demand prediction.
BUAABIGSCity/KDDCUP2022
[KDD CUP 2022] 11th place solution of Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022
HKUDS/GraphST
[ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"
AmitRoy7781/USTGCN
[IJCNN 2021] Unified Spatio-Temporal modeling for traffic forecasting using Graph Convolutional Network
HKUDS/FlashST
[ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"
topazape/ST-ResNet
Implementation of the paper - Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
HKUDS/CL4ST
[CIKM'2023] "CL4ST: Spatio-Temporal Meta Contrastive Learning"
WooheonHong/StemGNN
Reproduce - Traffic_prediction - StemGNN(NeurIPS20)
tumeteor/neurips2019challenge
Solution for our Neurips 2019 challenge on traffic movie forecasting
ArsamAryandoust/DataSelectionMaps
Enhanced spatio-temporal electric load forecasts with less data using active deep learning
SonghuaHu-UMD/MultiSTGraph
A Multi-graph Multi-head Adaptive Temporal Graph Convolutional Network
dscheepens/Deep-RNN-for-extreme-wind-speed-prediction
Paper code for "Adapting a deep convolutional RNN model with imbalanced regression loss for improved spatio-temporal forecasting of extreme wind speed events in the short-to-medium range".
BNN-UPC/Atom_Neural_Traffic_Compression
This repository contains de code and instructions to train the models and prepare the datasets for the experiments in the paper "Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks" accepted at the 2nd ACM CONEXT GNNet 2023 Workshop.
HowardZorn/ST-MAN
ST-MAN: Spatio-Temporal Multimodal Attention Network for Traffic Prediction (KSEM 2023)
mrfoliveira/Evaluation-procedures-for-forecasting-with-spatio-temporal-data
"Evaluation procedures for forecasting with spatio-temporal data" -- ECML 2018
RongHuHu/MFAA-Net
[under review] Official PyTorch Implementation of "Multi-scale Feature Aggregation Autoregressive Network for Multi-Agent Trajectory Prediction".