#### Some Auxilary scripts ####
python generate_prototypes.py  


#### For the Numerical Experiments in unconstrained and regularized cases ####
python main_dynamics.py


#### For the Numerical Experiments with Prototype-anchored Learning ####
python main_dynamics_pal.py


#### For the Numerical Experiments in spherical constrained cases ####
python main_dynamics_sphe.py


#### For the Visual Classification on CIFAR-10/-100 ####
python main_vic.py --options ...


#### For the Imbalanced Learning on CIFAR-10/-100 ####
python main_imb.py --options ...


#### For the Learning on ImageNet ####
python main_imagenet.pt -bs 256 --total-epochs 100 -expn fsm_imagenet --single-aug --no-oss-saved --loss sm --mode fixlinear


#### For the Imbalanced Learning on CIFAR-10/-100 ####
python main_imb.py --options ...


