Predicting insecticide use across Canada
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Updated
Aug 9, 2021 - R
Predicting insecticide use across Canada
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cloud-based, large-scale ST-GCN with OpenStreetMap features
ML on spatial-temporal data to predict wind speeds of satellite storm images --> InceptionV4 (2D CNN) on last frame & I3D (3D CNN) on optical flows of preceding 4 frames
a novel transformer-based architecture named CSTTN for traffic prediction
Pytorch implementation of Spatio-temporal Differential Equation Network (STDEN).
The code of paper "Spatial-Temporal Attention Network for Crime Prediction with Adaptive Graph Learning"
A unified Spatial Temporal Net Trainer for different baselines in Spatial Temporal Forecasting problems.
This project demonstrated multiple spatial-temporal models to predict PM2.5 in Beijing based on the air quality data and meteorology data from 2017-01-31 to 2018-01-31 of several monitoring stations in Beijing.
A web-based tool that predicts crimes based on heterogeneous spatial patterns
A diffusion-based framework for spatio-temporal point processes
Source codes of CIKM2022 Full Paper "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities"
Occ4cast: LiDAR-based 4D Occupancy Completion and Forecasting
Using a hybrid spatial-temporal deep learning approach to forecast subseasonal weather across 514 Western USA geographical regions
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction
A comprehesive survey about foundation models for weather and cliamte data understanding.
Source code for 'Dual Attention Based FL for Wireless Traffic Prediction'
An implementation of LaneGCN (Learning Lane Graph Representations for Motion Forecasting)
Codes for AAAI 2019 DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis
The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
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