Generative Adversarial, Python, Synthetic Data, Gans, Time Series Analysis.
So essentially we got a dataset of dimensions (19712, (24, 28)), where each of the 19712 instances has 24 rows (aka timesteps) and 28 features. This implementation can be found here. 4. Generating time-series data using TimeGAN TimeGAN (Time-series Generative Adversarial Network) is an