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运用GAN来进行交通流预测和数据修复
Traffic flow predict. Implementation of graph convolutional network with PyTorch
GeoTorchAI: A Spatiotemporal Deep Learning Framework (https://dl.acm.org/doi/abs/10.1145/3557915.3561036)
The code of AAAI2021 paper of HGCN for Traffic Forecasting
A pytorch version implement of DEXA 2021 conference paper "Traffic Prediciton Through the Fusion of Spatial Temporal Data and Point of interest."
This repository is a pytorch version implementation of DEXA 2021 conference paper "Traffic Flow Prediciton through the Fusion of Spatial Temporal Data and Points of Interest".
Implicit Stacked Autoregressive Model for Video Prediction (official implementation)
Human trajectory prediction via conditional 3d attention
Keras Temporal Convolutional Network.
Official implementation of "Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion"(SIGSPATIAL'23)
Multiple local 3D CNNs for region-based prediction in smart cities
few-shot models for short-term traffic prediction
[ICCV 2021] Encoder-decoder with Multi-level Attention for 3D Human Shape and Pose Estimation
Multidirectional Short-Term Traffic Volume Prediction Based on Spatiotemporal Networks, Applied Intelligence, to appear.
The codes and data of paper "Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction"
[IEEE T-ITS] MG-TAR: Multi-view Graph Convolutional Networks for Traffic Accident Risk Prediction
Code release for "Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics" (CVPR 2019)
[arXiv 2022] MogaNet: Efficient Multi-order Gated Aggregation Network
Code of MVSTT
Implementation of the paper NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting.
[AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.
The project is an official implementation of our paper "3D Human Pose Estimation with Spatial and Temporal Transformers".
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