The framework implements in a coherent manner several state-of-the-art sequential deep learning approaches (LSTM, Seq-AE, Seq-AE-GAN, Transformer, BERT, GPT, WaveNet) for process prediction. These are implemented in Python and PM4Py and provide a starting point for process prediction.
smartjourneymining/sequential-deep-learning-models
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The framework implements in a coherent manner several state-of-the-art sequential deep learning approaches (LSTM, Seq-AE, Seq-AE-GAN, Transformer, BERT, GPT, WaveNet) for process prediction. These are implemented in Python and PM4Py and provide a starting point for process prediction.