1) Feature_enhance is added 2) model_free_locscale by default is using the predicted model maps 3) emmernet models are trained against hybrid and atomic model maps (60k dataset, 15 epochs, 0.0001 lr) 4) Filtered cubing for faster prediction (using both CPU and GPU) 5) Logging with loguru