The best model can be trained and evaluated through python main.py
latent_1_eval and latent_2_eval store the inference figures by latent dimensions of 1 and 2 respectively, where the names of figures stand for the value of latent vectors.
results_* directories store the best models for a certain number of latent dimensions and the corresponding evaluation results throughout the whole training process.
Running evaluation.py gives you inference figures.