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the resources I use to learn computer science in my spare time
Spatio-temporal attention LSTM model for Spatio-temporal series problems
PyTorch implementation of FedPer (Federated Learning with Personalization Layers).
Multi-objective irrigation optimization using a crop simulation model and historical weather data
Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.
The source code of paper "Multi-step-ahead Prediction from Short-term Data by Delay-Embedding-based Forecast Machine"
[ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
[KDD CUP 2022] 11th place solution of Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022
Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting
CobamasSensorOD is a framework used to create, train and visualize an autoencoder on sequential multivariate data.
A PyTorch implementation of the Attention Diffusion Network from "Structured Time Series Prediction without Structural Prior"
🚗 Implementation of spatio-temporal graph convolutional network with PyTorch
project for building a graph neural net for multivariable time-series forecast of energy consumption.
Build your neural network easy and fast, 莫烦Python中文教学
Pytorch🍊🍉 is delicious, just eat it! 😋😋
[TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
比较 TCN、GRU、GCN、TGCN、 TCN+GCN 在 交通流量预测方面的准确率效果。
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
An implementation of a sequence to sequence neural network using an encoder-decoder