Alternatives and similar repositories for deep-time-series

Users that are interested in deep-time-series are comparing it to the libraries listed below

• Masterleia / TSF_LSTF_Compare
  Time series forecasting especially in LSTF compare，include Informer, Autoformer, Reformer, Pyraformer, FEDformer, Transformer, MTGNN, LST…
  ☆128Updated 3 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
  ☆238Updated 2 years ago
• plumprc / MTS-Mixers
  MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing
  ☆238Updated 5 months ago
• ghsama / ConvTransformerTimeSeries
  Convolutional Transformer for time series
  ☆282Updated 5 years ago
• RadiantResearch / TSAT
  Transformer based model for time series prediction
  ☆134Updated 3 years ago
• jsyoon0823 / Time-series-prediction
  Basic RNN, LSTM, GRU, and Attention for time-series prediction
  ☆184Updated last year
• thuml / Nonstationary_Transformers
  Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/a…
  ☆555Updated last year
• CVxTz / time_series_forecasting
  ☆204Updated 4 years ago
• mlpotter / Transformer_Time_Series
  Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)
  ☆594Updated 2 years ago
• louisyuzhe / deeplearning_forecast
  Application of deep learning model (Temporal Fusion Transformer) to forecast time-series data
  ☆33Updated 5 years ago
• hughxx / tsf-new-paper-taste
  A code implementation of new papers in the time series forecasting field.
  ☆125Updated 2 years ago
• ChiYaoLa / TimeSeriesPredict
  used for Stock Prodiction&power prediction&Traffic prediction by ARIMA,xgboost,RNN,LSTM,TCN
  ☆113Updated 5 years ago
• FateMurphy / CEEMDAN_LSTM
  CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.
  ☆288Updated 10 months ago
• stevinc / Transformer_Timeseries
  Pytorch code for Google's Temporal Fusion Transformer
  ☆105Updated 3 years ago
• ArcherCYM / CEEMDAN-LSTM
  Paper-Reproduce: (ESWA) Forecasting the realized volatility of stock price index: A hybrid model integrating CEEMDAN and LSTM
  ☆72Updated last year
• Vsooong / multivariate-prediction
  time-series-predictoin(LSTNet,SAB,Transformer...)
  ☆143Updated 7 years ago
• TonyEinstein / informer_ChineseNotes
  ☆69Updated 2 years ago
• lpphd / multivariate-attention-tcn
  ☆99Updated 2 years ago
• ashrafalaghbari / GA-TCN-LSTM
  An Ensemble DL Model Tuned with Genetic Algorithm for Oil Production Forecasting.
  ☆76Updated 2 years ago
• natashaklingenbrunn / Transformer-Time-Series-Forecasting
  ☆401Updated 4 years ago
• FateMurphy / CEEMDAN-VMD-GRU
  CEEMDAN-VMD-LSTM Forecasting model (a light version of CEEMDAN_LSTM)
  ☆107Updated 3 years ago
• ioannislivieris / DLinear
  ☆38Updated 2 years ago
• Rssevenyu / pytorch-time_series_data-prediction-with-gru-and-lstm
  (pytorch)time_series_data-prediction-with-gru-and-lstm
  ☆47Updated 3 years ago
• Sanyam-Mehta / TPA-LSTM-PyTorch
  This is the PyTorch implementation of TPA-LSTM
  ☆60Updated 6 years ago
• wanghq21 / MICN
  Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)
  ☆127Updated 2 years ago
• eai2x / TimeSeriesMoonlightBox
  time series analysis models source code
  ☆249Updated 3 years ago
• lwb-xmu / Multivariate-multi-step-time-series-forecasting-via-LSTM
  多元多步时间序列的LSTM模型预测——基于Keras
  ☆90Updated 4 years ago
• Heitao5200 / LSTM-for-Time-Series-Forecasting-Pytorch
  使用LSTM、GRU、BPNN进行时间序列预测。Using LSTM\GRU\BPNN for time series forecasting. (Pytorch Edition)
  ☆60Updated 5 years ago
• LarsBentsen / FFTransformer
  Multi-Step Spatio-Temporal Forecasting: https://authors.elsevier.com/sd/article/S0306-2619(22)01822-0
  ☆85Updated last year
• quovadisss / TimeSeriesForecasting_AI_team1
  Seoultech AI Class Team Project
  ☆14Updated 4 years ago