guolinzhou1998

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

DeepTrends

Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)

demand_forecast

DGA

A neural network model implemented in MATLAB to predict various faults in transformers using Dissolved Gas Analysis.

FaultPrognosisDL

GCN-LSTM

MVTS Classification with GCN-LSTM

Power-state-transformer

RNN-Time-series-Anomaly-Detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

tensorized-rnn

A fully tensorized recurrent neural network using tensor-train decomposition

TimeSeries

Implementation of deep learning models for time series in PyTorch.

guolinzhou1998/deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

guolinzhou1998/GCN-LSTM

MVTS Classification with GCN-LSTM

guolinzhou1998/Power-state-transformer

guolinzhou1998/DeepTrends

Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)

guolinzhou1998/demand_forecast

guolinzhou1998/DGA

A neural network model implemented in MATLAB to predict various faults in transformers using Dissolved Gas Analysis.

guolinzhou1998/FaultPrognosisDL

guolinzhou1998/RNN-Time-series-Anomaly-Detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

guolinzhou1998/tensorized-rnn

A fully tensorized recurrent neural network using tensor-train decomposition

guolinzhou1998/TimeSeries

Implementation of deep learning models for time series in PyTorch.

guolinzhou1998/Transformer-Power-Loss-Prediction

Predicted transformer power loss using regression model