Generating Numeric data using GANs

I am working on activity recognition using gait analysis. I need to generate gait data data synthetically. Gait data will be numeric like this.
Acc = 0,345, .567, 0.89, …

Is it possible to generate this type of data using pytorch?

I guess it should be possible. You can think of the ACC data as real input X (similar to the image). The problem seems like “Generative time-series data.” Link

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