#计算机科学#PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
#计算机科学#Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
#Awesome#A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
#计算机科学#GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale
#计算机科学#tsl: a PyTorch library for processing spatiotemporal data.
4D Spatio-Temporal Semantic Segmentation on a 3D video (a sequence of 3D scans)
#计算机科学#A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
ST-DBSCAN: Simple and effective tool for spatial-temporal clustering
#计算机科学#Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper
Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.
OpenStreetMap History Data Analysis Framework
🔥Remote Sensing Spatio-Temporal Vision-Language Models: A Comprehensive Survey
code for CVPR-2019 paper: Self-supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics
Spatio Temporal DBSCAN algorithm in Python. Useful to cluster spatio-temporal data with irregular time intervals, a prominent example could be GPS trajectories collected using mobile devices.
GroundWater Spatiotemporal Data Analysis Tool (GWSDAT) R-Shiny implementation.
Simple and effective tools for the analysis of movement data
ST-Hadoop is an open-source MapReduce extension of Hadoop designed specially to analyze your spatio-temporal data efficiently
#计算机科学#A Python Package for Adaptive Spatio-Temporal Exploratory Model (AdaSTEM)
A network-based model for spatiotemporal data analysis
ST-OPTICS: Spatio-temporal clustering based on OPTICS