TS prediction

TS Prediction

GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series code
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting code
Latent ODEs for Irregularly-Sampled Time Series code
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting code
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series code
System Identification with Time-Aware Neural Sequence Models code
Joint Modeling of Local and Global Temporal Dynamics for Multivariate time series forecasting with missing values
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models code

DeepAR: Probabilistic forecasting with autoregressive recurrent networks
Unsupervised Scalable Representation Learning for Multivariate Time Series
A dual-stage attention-based recurrent neural network for time series prediction
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models code
A Memory-Network Based Solution for Multivariate Time-Series Forecasting
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting
A Multi-Horizon Quantile Recurrent Forecaster
Time-series Generative Adversarial Networks
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting
Deep state space models for time series forecasting
Deep factors for forecasting
You May Not Need Order in Time Series Forecasting

Electronic Health Records: Mimic-iii, a freely accessible critical care database. url GRU-ODE_Bayes
Climate change: url GRU-ODE-Bayes
Time Series Classification
Web Traffic Time Series Forecasting