Alternatives and similar repositories for influenza_transformer

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

• natashaklingenbrunn / Transformer-Time-Series-Forecasting
  ☆396Updated 4 years ago
• dehoyosb / temporal_fusion_transformer_pytorch
  ☆236Updated 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…
  ☆550Updated last year
• mlpotter / Transformer_Time_Series
  Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)
  ☆594Updated 2 years ago
• mattsherar / Temporal_Fusion_Transform
  Pytorch Implementation of Google's TFT
  ☆278Updated 5 years ago
• JulesBelveze / time-series-autoencoder
  PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series
  ☆709Updated 3 weeks ago
• ctxj / Time-Series-Transformer-Pytorch
  ☆71Updated 4 years ago
• stevinc / Transformer_Timeseries
  Pytorch code for Google's Temporal Fusion Transformer
  ☆103Updated 3 years ago
• ghsama / ConvTransformerTimeSeries
  Convolutional Transformer for time series
  ☆282Updated 5 years ago
• CVxTz / time_series_forecasting
  ☆204Updated 3 years ago
• cure-lab / SCINet
  The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2…
  ☆667Updated 2 years ago
• gzerveas / mvts_transformer
  Multivariate Time Series Transformer, public version
  ☆857Updated 2 months ago
• greatwhiz / tft_tf2
  Temporal Fusion Transformers for Tensorflow 2.x
  ☆181Updated 2 years ago
• lkulowski / LSTM_encoder_decoder
  Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data
  ☆434Updated 4 years ago
• ts-kim / RevIN
  RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift
  ☆382Updated last year
• LiamMaclean216 / Pytorch-Transfomer
  My implementation of the transformer architecture from the Attention is All you need paper applied to time series.
  ☆321Updated 4 years ago
• zhykoties / TimeSeries
  Implementation of deep learning models for time series in PyTorch.
  ☆394Updated 5 years ago
• cchallu / nbeatsx
  ☆208Updated 3 years ago
• maxjcohen / transformer
  Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
  ☆905Updated 2 years ago
• QData / spacetimeformer
  Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal …
  ☆871Updated last year
• cure-lab / Awesome-time-series
  A comprehensive survey on the time series domains
  ☆541Updated last year
• hyliush / deep-time-series
  Deep learning PyTorch library for time series forecasting
  ☆130Updated 2 years ago
• MAZiqing / FEDformer
  ☆775Updated 2 years ago
• DaoSword / Time-Series-Forecasting-and-Deep-Learning
  Resources about time series forecasting and deep learning.
  ☆746Updated this week
• hihihihiwsf / AST
  Adversarial Sparse Transformer for Time Series Forecasting
  ☆140Updated 3 years ago
• laiguokun / multivariate-time-series-data
  ☆867Updated 8 years ago
• RuifMaxx / Multidimensional-time-series-with-transformer
  transformer/self-attention for Multidimensional time series forecasting 使用transformer架构实现多维时间预测
  ☆237Updated 2 years ago
• oliverguhr / transformer-time-series-prediction
  proof of concept for a transformer-based time series prediction model
  ☆1,444Updated 2 years ago
• Thinklab-SJTU / Crossformer
  Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Serie…
  ☆635Updated 2 years ago
• hughxx / tsf-new-paper-taste
  A code implementation of new papers in the time series forecasting field.
  ☆125Updated 2 years ago