spatio-temporal
There are 150 repositories under spatio-temporal 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.
cuge1995/awesome-time-series
list of papers, code, and other resources
Mukosame/Zooming-Slow-Mo-CVPR-2020
Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)
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.)
GeoStat-Framework/GSTools
GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more
Eilene/spatio-temporal-paper-list
Spatio-temporal modeling 论文列表（主要是graph convolution相关)
jhhuang96/ConvLSTM-PyTorch
ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
TorchSpatiotemporal/tsl
tsl: a PyTorch library for processing spatiotemporal data.
NVlabs/STEP
STEP: Spatio-Temporal Progressive Learning for Video Action Detection. CVPR'19 (Oral)
Knowledge-Precipitation-Tribe/Spatio-Temporal-papers
This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.
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
VSainteuf/pytorch-psetae
PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"
diffusion-motion-transfer/diffusion-motion-transfer
Official Pytorch Implementation for "Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer""
xiepeng21/research_spatio-temporal-data-mining
A collection of research on spatio-temporal data mining
EDAPINENUT/CLCRN
This is an official Pytorch implementation of Conditional Local Convolution for Spatio-temporal Meteorological Forecasting, AAAI 2022
eren-ck/st_dbscan
ST-DBSCAN: Simple and effective tool for spatial-temporal clustering
ujjax/pred-rnn
PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs
jeongwhanchoi/STG-NCDE
"Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022
csiro-robotics/locus
[ICRA 2021] This repository contains the code for "Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling".
edouardelasalles/stnn
Code for the paper "Spatio-Temporal Neural Networks for Space-Time Series Modeling and Relations Discovery"
HannaMeyer/CAST
Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models
LongxingTan/KDDCup2022-WPF
3rd Place Solution of KDD Cup 2022-Spatial Dynamic Wind Power Forecasting
LongxingTan/Data-competitions
My Data Competition Solutions
RansML/Bayesian_Hilbert_Maps
Mapping spatiotemporal patterns in an online and continuous fashion
xdshang/VidVRD-helper
To keep updates with VRU Grand Challenge, please use https://github.com/NExTplusplus/VidVRD-helper
NickHan-cs/Spatio-Temporal-Data-Mining-Survey
Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.
Anirudh257/strm
[CVPR 2022] Official Pytorch Implementation for "Spatio-temporal Relation Modeling for Few-shot Action Recognition". SOTA Results for Few-shot Action Recognition
tsinghua-fib-lab/UniST
Official implementation for "UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction" (KDD 2024)
EOA-team/eodal
Earth Observation Data Analysis Library
gengdd/Awesome-Time-Series-Spatio-Temporal
Awesome Time-Series and Spatio-Temporal Related
yulinliu101/DeepTP
A deep generative model to predict aircraft actual trajectories using high dimensional weather data
Zymrael/wattnet-fx-trading
WATTNet: Learning to Trade FX with Hierarchical Spatio-Temporal Representations of Highly Multivariate Time Series
LMissher/STWave
[ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks