Top 13 spatio-temporal open source projects

Summary of open source code for deep learning models in the field of traffic prediction

ST-Hadoop is an open-source MapReduce extension of Hadoop designed specially to analyze your spatio-temporal data efficiently

An R package for space-time anomaly detection using scan statistics.

PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models

Visual Relation Grounding in Videos (ECCV'20, Spotlight)

Q. Zhang, Q. Yuan, J. Li, Z. Li, H. Shen, and L. Zhang, "Thick Cloud and Cloud Shadow Removal in Multitemporal Images using Progressively Spatio-Temporal Patch Group Learning", ISPRS Journal, 2020.

PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs

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.

ST-DBSCAN: Simple and effective tool for spatial-temporal clustering

WATTNet: Learning to Trade FX with Hierarchical Spatio-Temporal Representations of Highly Multivariate Time Series

A PyTorch implementation of R2Plus1D and C3D based on CVPR 2017 paper "A Closer Look at Spatiotemporal Convolutions for Action Recognition" and CVPR 2014 paper "Learning Spatiotemporal Features with 3D Convolutional Networks"