tsai - Zaman serileri ve sekanslar için açık kaynaklı derin öğrenme kütüphanesi

• Pytorch ve fastai tabanlı
• classification, regression, forecasting, imputation gibi zaman serisi görevlerine odaklanır
• Kullanılabilen son teknoloji modeller
  • LSTM (Hochreiter, 1997)
  • GRU (Cho, 2014)
  • MLP - Multilayer Perceptron (Wang, 2016)
  • FCN - Fully Convolutional Network (Wang, 2016)
  • ResNet - Residual Network (Wang, 2016)
  • LSTM-FCN (Karim, 2017)
  • GRU-FCN (Elsayed, 2018)
  • mWDN - Multilevel wavelet decomposition network (Wang, 2018)
  • TCN - Temporal Convolutional Network (Bai, 2018)
  • MLSTM-FCN - Multivariate LSTM-FCN (Karim, 2019)
  • InceptionTime (Fawaz, 2019)
  • Rocket (Dempster, 2019)
  • XceptionTime (Rahimian, 2019)
  • ResCNN - 1D-ResCNN (Zou , 2019)
  • TabModel - fastai’nin TabularModel’inden uyarlanmıştır
  • OmniScale - Omni-Scale 1D-CNN (Tang, 2020)
  • TST - Time Series Transformer (Zerveas, 2020)
  • TabTransformer (Huang, 2020)
  • MiniRocket (Dempster, 2021)
  • XCM - Açıklanabilir Bir Convolutional Neural Network (Fauvel, 2021)
  • gMLP - Gated Multilayer Perceptron (Liu, 2021)
  • GatedTabTransformer (Cholakov, 2022)