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The repository provides a synthetic multivariate time series data generator. The implementation is an extention of the cylinder-bell-funnel time series data generator. The scipt enables synthetic data generation of different length, dimensions and samples.
Second challenge of the 'Artificial Neural Networks and Deep Learning' Course, aiming on classifing time series using different RNN architectures, exploring and improving their structures.