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deep-time-series

Deep learning PyTorch library for time series forecasting

gan

运用GAN来进行交通流预测和数据修复

gatv2

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

gcn_predict-pytorch

Traffic flow predict. Implementation of graph convolutional network with PyTorch

informer2

PyTorch implementation of Informer (Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting)

mgt

pvcgn

code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

spatial-temporal-transformer

traffic flow prediction

stfgnn

Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)

stgcn-pytorch

Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal graph convolutional network with PyTorch

stock_predict_with_lstm

Predict stock with LSTM supporting pytorch, keras and tensorflow

stsgcn_pytorch

stsgcn_wanhuaiyu

AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting

sttns

Spatial-Temporal Transformer Networks for Traffic Flow Forecasting

timeseriesresearch

这个开源项目主要是对经典的时间序列预测算法论文进行复现，模型主要参考自GluonTS，框架主要参考自Informer

traffic_prediction

分别使用三种图卷积做一个简单的交通流量预测模型。

trafficflowforecasting

Some TrafficFlowForecasting Solutions(交通流量预测解决方案)

trafficflowprediction

城市交通道路流量预测

vision

Datasets, Transforms and Models specific to Computer Vision