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.
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Updated
Aug 13, 2024
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.
Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)
list of papers, code, and other resources
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.)
GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more
Spatio-temporal modeling 论文列表(主要是graph convolution相关)
ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
STEP: Spatio-Temporal Progressive Learning for Video Action Detection. CVPR'19 (Oral)
tsl: a PyTorch library for processing spatiotemporal data.
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.
Summary of open source code for deep learning models in the field of traffic prediction
Paper list in traffic prediction field
PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"
Official Pytorch Implementation for "Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer""
A collection of research on spatio-temporal data mining
This is an official Pytorch implementation of Conditional Local Convolution for Spatio-temporal Meteorological Forecasting, AAAI 2022
ST-DBSCAN: Simple and effective tool for spatial-temporal clustering
PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs
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