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
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.
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 web-based tool that predicts crimes based on heterogeneous spatial patterns
a novel transformer-based architecture named CSTTN for traffic prediction
Pytorch implementation of Spatio-temporal Differential Equation Network (STDEN).
A unified Spatial Temporal Net Trainer for different baselines in Spatial Temporal Forecasting problems.
The code of paper "Spatial-Temporal Attention Network for Crime Prediction with Adaptive Graph Learning"
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
An implementation of LaneGCN (Learning Lane Graph Representations for Motion Forecasting)
Source codes of CIKM2022 Full Paper "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities"
A diffusion-based framework for spatio-temporal point processes
Source code for 'Dual Attention Based FL for Wireless Traffic Prediction'
Codes for AAAI 2019 DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis
TianChi AIEarth Contest Solution
A comprehesive survey about foundation models for weather and cliamte data understanding.
Occ4cast: LiDAR-based 4D Occupancy Completion and Forecasting
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