Jan dubinski dev

Add jupyter notebooks for training and evaluating machine learning models.

• 1.separating zero and nonzero particles.ipynb
• 2.separating random and nonrandom particles.ipynb
• 3.algorithm for generating random ZDC responses.ipynb U
• 4.VAE.ipynb
• 5.GAN.ipynb
• 6.auxiliary regressor.ipynb
• 7.GAN+aux_reg.ipynb
• 8.Postprocessing. ipynb
• 9.Histograms of channels.ipynb

Added script for data preprocessing from txt files to npz array and model retraining