Alternatives and similar repositories for hetvae

Users that are interested in hetvae are comparing it to the libraries listed below

• fteufel / PyTorch-GRU-D
  PyTorch Implementation of GRU-D from "Recurrent Neural Networks for Multivariate Time Series with Missing Values" https://arxiv.org/abs/1…
  ☆26Updated 5 years ago
• weifantt / DEPTS
  ☆42Updated 3 years ago
• zhycs / LaST
  Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022
  ☆78Updated 2 years ago
• zichuan-liu / ContraLSP
  [ICLR'24] Official PyTorch Implementation of ContraLSP
  ☆30Updated last year
• Z-GCNETs / Z-GCNETs
  ☆39Updated 3 years ago
• googleinterns / local_global_ts_representation
  ☆22Updated 3 years ago
• networkslab / rnn_flow
  ☆23Updated 3 years ago
• haoyfan / SelfTime
  (Under Review)
  ☆67Updated 3 years ago
• gabrielspadon / ReGENN
  Recurrent Graph Evolution Neural Network (ReGENN) using Graph Soft Evolution (GSE)
  ☆30Updated 10 months ago
• mlds-lab / interp-net
  Code for "Interpolation-Prediction Networks for Irregularly Sampled Time Series", ICLR 2019.
  ☆95Updated 10 months 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…
  ☆76Updated 3 years ago
• cchallu / dghl
  ☆28Updated 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
• yantijin / ScoreGradPred
  Code for *ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models*
  ☆85Updated 4 months ago
• duongtrung / time-series-temporal-saliency-patterns
  ☆16Updated last year
• HerreraKrachTeichmann / NJODE
  code for "Neural Jump Ordinary Differential Equations"
  ☆30Updated 2 years ago
• Rose-STL-Lab / Spatiotemporal_UQ
  Uncertainty Quantification for Deep Spatiotemporal Forecasting
  ☆22Updated 9 months ago
• xlwang233 / pytorch-DCRNN
  PyTorch implementation of Diffusion Convolutional Recurrent Neural Network
  ☆50Updated 5 years ago
• BorealisAI / ssl-for-timeseries
  Self Supervised Learning for Time Series Using Similarity Distillation
  ☆10Updated 2 years ago
• dominikalfke / TimeSeriesSSL
  A study of distance measures and learning methods for semi-supervised learning on time series data
  ☆17Updated 3 years ago
• boschresearch / Continuous-Recurrent-Units
  ☆66Updated last year
• xingyu617 / SimTS_Representation_Learning
  ☆47Updated 2 years ago
• clear-nus / NCDSSM
  PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…
  ☆25Updated last year
• abdulfatir / REDSDS
  Pytorch implementation of RED-SDS (NeurIPS 2021).
  ☆18Updated 3 years ago
• tianlinxu312 / cot-gan
  COT-GAN: Generating Sequential Data via Causal Optimal Transport
  ☆37Updated 3 years ago
• layer6ai-labs / WinIT
  Code for the ICLR'23 paper "Temporal Dependencies in Feature Importance for Time Series Prediction"
  ☆27Updated 2 years ago
• reml-lab / mTAN
  Code for "Multi-Time Attention Networks for Irregularly Sampled Time Series", ICLR 2021.
  ☆133Updated 3 years ago
• panzheyi / AutoSTG
  ☆25Updated 4 years ago
• Wickstrom / MixupContrastiveLearning
  Code for mixup contrastive learning
  ☆22Updated 4 years ago