There are 8 repositories under spatio-temporal-prediction topic.
LibCity: An Open Library for Urban Spatial-temporal Data Mining
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
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).
GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale
Summary of open source code for deep learning models in the field of traffic prediction
tsl: a PyTorch library for processing spatiotemporal data.
Paper list in traffic prediction field
[AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.
Traffic data processing tools in LibCity
A TensorFlow Implementation of Deep Spatio-Temporal Residual Networks (ST-ResNet): https://arxiv.org/abs/1610.00081
Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.
Awesome Time-Series and Spatio-Temporal Related
A PyTorch implementation of T-GCN
[Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting
[KDD CUP 2022] 11th place solution of Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022
[IJCNN 2021] Unified Spatio-Temporal modeling for traffic forecasting using Graph Convolutional Network
This is a real-world dataset of 18,061 public electric vehicle (EV) charging piles for spatio-temporal charging demand prediction.
Solution for our Neurips 2019 challenge on traffic movie forecasting
Reproduce - Traffic_prediction - StemGNN(NeurIPS20)
Enhanced spatio-temporal electric load forecasts with less data using active deep learning
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".
A Multi-graph Multi-head Adaptive Temporal Graph Convolutional Network
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.
ST-MAN: Spatio-Temporal Multimodal Attention Network for Traffic Prediction (KSEM 2023)
PurpleAirSF: datasets for realistic air quality forecasting
Using recurrent Spatio-Temporal Graph Convolutional Neural Networks to improve ETA predictions of cargo railway transportation.