Alternatives and similar repositories for AttentionBasedMultiModalRNN:

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

• chaoshangcs / GTS
  Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.
  ☆172Updated 3 years ago
• salesforce / CoST
  PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)
  ☆221Updated last year
• JLDeng / ST-Norm
  [KDD 2021] Official Code of the paper "ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting"
  ☆57Updated 7 months ago
• tianchen101 / MQRNN
  Multi-Quantile Recurrent Neural Network for Quantile Regression
  ☆63Updated 4 years ago
• Daniela-Shereen / GBRT-for-TSF
  ☆197Updated last year
• Sanyam-Mehta / TPA-LSTM-PyTorch
  This is the PyTorch implementation of TPA-LSTM
  ☆58Updated 5 years ago
• LiuZH-19 / ESG
  PyTorch implementation of ESG
  ☆76Updated last year
• oneday88 / deepTCN
  ☆151Updated 3 years ago
• lpphd / multivariate-attention-tcn
  ☆90Updated last year
• Daikon-Sun / AdjustAutocorrelation
  Adjusting for Autocorrelated Errors in Neural Networks for Time Series
  ☆57Updated 3 years ago
• Vsooong / multivariate-prediction
  time-series-predictoin(LSTNet,SAB,Transformer...)
  ☆138Updated 6 years ago
• GestaltCogTeam / STID
  Code for our CIKM'22 paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.
  ☆207Updated 4 months ago
• husnejahan / DeepAR-pytorch
  ☆255Updated 3 years ago
• EternityZY / STNSCM
  This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"
  ☆35Updated 2 years ago
• qingsongedu / timeseries-tutorial-kdd-2022
  KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective
  ☆103Updated 10 months ago
• AdityaLab / CAMul
  ☆14Updated 2 years ago
• BUAABIGSCity / KDDCUP2022
  [KDD CUP 2022] 11th place solution of Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022
  ☆54Updated last year
• pedrolarben / TimeSeriesForecasting-DeepLearning
  An experiemtal review on deep learning architectures for time series forecasting
  ☆139Updated 3 years ago
• stevinc / Transformer_Timeseries
  Pytorch code for Google's Temporal Fusion Transformer
  ☆87Updated 2 years ago
• amitesh863 / nbeats_forecast
  N-Beats library implementation
  ☆87Updated 3 years ago
• aaronhan223 / htsf
  Hierarchical Time Series Forecasting
  ☆14Updated last year
• RadiantResearch / TSAT
  Transformer based model for time series prediction
  ☆125Updated 2 years ago
• ZhuangDingyi / STZINB
  Source code of implementing spatial-temporal zero-inflated negative binomial network for trip demand prediction
  ☆25Updated 3 years ago
• Frank-Wang-oss / FCSTGNN
  ☆96Updated last year
• vincent-leguen / STRIPE
  Code for our NeurIPS 2020 paper "Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity"
  ☆87Updated 3 years ago
• gabrielspadon / ReGENN
  Recurrent Graph Evolution Neural Network (ReGENN) using Graph Soft Evolution (GSE)
  ☆30Updated 6 months ago
• yfzhang114 / OneNet
  This is an official PyTorch implementation of the NeurIPS 2023 paper 《OneNet: Enhancing Time Series Forecasting Models under Concept Drif…
  ☆103Updated 2 months ago
• fbadine / LSTNet
  A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper
  ☆172Updated 2 years ago
• cchallu / n-hits
  ☆176Updated last year
• shangzongjiang / MAGNN
  ☆89Updated last month