Spatio-Temporal event prediction with different ml and dl algorithms.
-
Updated
May 20, 2021 - Jupyter Notebook
Spatio-Temporal event prediction with different ml and dl algorithms.
An efficient and effective Bayesian calibration apporach for large-scale raw numerical model outputs
M-LibCity:基于Mindspore的城市时空预测模型开源算法库
Park. (2023). Master's Thesis. Department of Statistics. Seoul National University.
Project - Traffic forecasting by spatio-temporal graph model
An additive dynamic model for correcting raw numerical model outputs using data from other sources, including readings collected at ground monitoring networks and weather outputs from other numerical models.
Predicting the temporal and geographical occurrence of conflicts in Myanmar with two paradigms of spatiotemporal networks.
"Biased resampling strategies for imbalanced spatio-temporal forecasting" -- DSAA 2019
Deep Spatio-Temporal Residual Networks for Mobile Location Data Prediction (instead of original Crowd Flow Prediction) - Modified ST-ResNet
M-LibCity: An Open Source Library for Urban Spatio-temporal Prediction Models Based on MindSpore
Sample code for video-like crowd prediction
code repo for "Performance evaluation for forecasting modeling with spatiotemporal structures in data"
PurpleAirSF: datasets for realistic air quality forecasting
[under review] Official PyTorch Implementation of "Multi-scale Feature Aggregation Autoregressive Network for Multi-Agent Trajectory Prediction".
Using recurrent Spatio-Temporal Graph Convolutional Neural Networks to improve ETA predictions of cargo railway transportation.
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.
"Evaluation procedures for forecasting with spatio-temporal data" -- ECML 2018
ST-MAN: Spatio-Temporal Multimodal Attention Network for Traffic Prediction (KSEM 2023)
[ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"
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".
Add a description, image, and links to the spatio-temporal-prediction topic page so that developers can more easily learn about it.
To associate your repository with the spatio-temporal-prediction topic, visit your repo's landing page and select "manage topics."