Alternatives and similar repositories for PyTorch-GRU-D:

Users that are interested in PyTorch-GRU-D are comparing it to the libraries listed below

• reml-lab / hetvae
  Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series
  ☆32Updated 2 years ago
• XAI-360 / TSCL
  Contrastive Learning for Time Series
  ☆38Updated 2 years ago
• steveli / partial-encoder-decoder
  An encoder-decoder framework for learning from incomplete data
  ☆46Updated last year
• JonathanCrabbe / Dynamask
  This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its pred…
  ☆75Updated 2 years ago
• felixykliu / NAOMI
  ☆51Updated 5 years ago
• googleinterns / local_global_ts_representation
  ☆22Updated 3 years ago
• Dolores2333 / ExtraMAE
  Official Implementation of Time Series Generation with Masked Autoencoder (ExtraMAE)
  ☆37Updated 2 years ago
• haoyfan / SelfTime
  (Under Review)
  ☆67Updated 3 years ago
• BorgwardtLab / Set_Functions_for_Time_Series
  Repository of the ICML 2020 paper "Set Functions for Time Series"
  ☆124Updated 4 years ago
• sanatonek / time_series_explainability
  ☆60Updated 4 years ago
• Wickstrom / MixupContrastiveLearning
  Code for mixup contrastive learning
  ☆22Updated 4 years ago
• vincent-leguen / STRIPE
  Code for our NeurIPS 2020 paper "Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity"
  ☆87Updated 4 years ago
• weifantt / DEPTS
  ☆42Updated 3 years ago
• mlds-lab / interp-net
  Code for "Interpolation-Prediction Networks for Irregularly Sampled Time Series", ICLR 2019.
  ☆94Updated 9 months ago
• dominikalfke / TimeSeriesSSL
  A study of distance measures and learning methods for semi-supervised learning on time series data
  ☆17Updated 3 years ago
• reml-lab / mTAN
  Code for "Multi-Time Attention Networks for Irregularly Sampled Time Series", ICLR 2021.
  ☆131Updated 3 years ago
• YoungseogChung / calibrated-quantile-uq
  Training quantile models
  ☆43Updated 5 months ago
• tianlinxu312 / cot-gan
  COT-GAN: Generating Sequential Data via Causal Optimal Transport
  ☆37Updated 3 years ago
• networkslab / rnn_flow
  ☆23Updated 3 years ago
• ayaabdelsalam91 / TS-Interpretability-Benchmark
  ☆91Updated 3 years ago
• Flawless1202 / Non-AR-Spatial-Temporal-Transformer
  Implementation of the paper NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting.
  ☆76Updated 4 years ago
• zhycs / LaST
  Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022
  ☆78Updated 2 years ago
• boschresearch / Continuous-Recurrent-Units
  ☆65Updated last year
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆74Updated 6 months ago
• gabrielspadon / ReGENN
  Recurrent Graph Evolution Neural Network (ReGENN) using Graph Soft Evolution (GSE)
  ☆30Updated 9 months ago
• NIPS-BRITS / BRITS
  ☆82Updated 2 years ago
• KurochkinAlexey / IMV_LSTM
  Pytorch implementation of "Exploring Interpretable LSTM Neural Networks over Multi-Variable Data" https://arxiv.org/pdf/1905.12034.pdf
  ☆108Updated 5 years ago
• mzaffran / AdaptiveConformalPredictionsTimeSeries
  ☆60Updated 3 years ago
• abdulfatir / REDSDS
  Pytorch implementation of RED-SDS (NeurIPS 2021).
  ☆18Updated 3 years ago
• Z-GCNETs / Z-GCNETs
  ☆39Updated 3 years ago