Alternatives and similar repositories for AttentionBasedMultiModalRNN

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

• laiguokun / multivariate-time-series-data
  ☆881Updated 8 years ago
• zhykoties / TimeSeries
  Implementation of deep learning models for time series in PyTorch.
  ☆394Updated 5 years ago
• natashaklingenbrunn / Transformer-Time-Series-Forecasting
  ☆402Updated 4 years ago
• husnejahan / DeepAR-pytorch
  ☆270Updated 4 years ago
• nnzhan / MTGNN
  ☆917Updated 2 years ago
• LiamMaclean216 / Pytorch-Transfomer
  My implementation of the transformer architecture from the Attention is All you need paper applied to time series.
  ☆322Updated 4 years ago
• jingw2 / demand_forecast
  ☆471Updated 2 years ago
• stevinc / Transformer_Timeseries
  Pytorch code for Google's Temporal Fusion Transformer
  ☆105Updated 3 years ago
• Daniela-Shereen / GBRT-for-TSF
  ☆204Updated 2 years ago
• chaoshangcs / GTS
  Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.
  ☆180Updated 4 years ago
• DAMO-DI-ML / AI-for-Time-Series-Papers-Tutorials-Surveys
  A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
  ☆166Updated 3 years ago
• KasperGroesLudvigsen / influenza_transformer
  PyTorch implementation of Transformer model used in "Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case"
  ☆260Updated 3 years ago
• tianchen101 / MQRNN
  Multi-Quantile Recurrent Neural Network for Quantile Regression
  ☆67Updated 5 years ago
• thuml / Nonstationary_Transformers
  Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/a…
  ☆556Updated last year
• mlpotter / Transformer_Time_Series
  Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)
  ☆595Updated 2 years ago
• WenjieDu / SAITS
  The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (S…
  ☆488Updated 4 months ago
• lixus7 / Time-Series-Works-Conferences
  Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
  ☆943Updated 2 months ago
• hihihihiwsf / AST
  Adversarial Sparse Transformer for Time Series Forecasting
  ☆140Updated 4 years ago
• salesforce / CoST
  PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)
  ☆235Updated 2 years ago
• ant-research / Pyraformer
  ☆300Updated 3 years ago
• microsoft / StemGNN
  Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting
  ☆596Updated last year
• xiyuanzh / time-series-papers
  An up-to-date list of time-series related papers in AI venues.
  ☆431Updated last year
• RadiantResearch / TSAT
  Transformer based model for time series prediction
  ☆134Updated 3 years ago
• cchallu / nbeatsx
  ☆210Updated 3 years ago
• Vsooong / multivariate-prediction
  time-series-predictoin(LSTNet,SAB,Transformer...)
  ☆143Updated 7 years ago
• ML4ITS / mtad-gat-pytorch
  PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https:…
  ☆387Updated 2 years ago
• zhhlee / InterFusion
  KDD 2021: Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding
  ☆233Updated 4 years ago
• cruiseresearchgroup / PISA-PromptCast
  ☆155Updated last year
• ghsama / ConvTransformerTimeSeries
  Convolutional Transformer for time series
  ☆282Updated 5 years ago
• hyliush / deep-time-series
  Deep learning PyTorch library for time series forecasting
  ☆132Updated 2 years ago