Integrates mag-net-hub fork with magnet ui-intro.py models

[ehavugi]

Integrates mag-net-hub fork with magnet ui-intro.py models

related upb-lea/mag-net-hub#1
Key changes upsampling 128 to 1024 points

 for material_test in material_list:
            if model in mag_net_hub_models:
                mdl = mh.loss.LossModel(material=material_test, team=model)
                loss_test, hdata_test = mdl(resample(bdata,1024), freq, temp)
                loss_test=np.round(loss_test,2)
            else:
                hdata_test = BH_Transformer(material_test, freq, temp, bias, bdata)
                loss_test = loss_BH(bdata, hdata_test, freq)

For the displayed H, currently the magnet(princeton) H prediction is not overrided due to possibility of not having H in a mag-net-hub model.

[ehavugi]

[wkirgsn]

Hi, I would like to let you know that it is perfectly fine to feed sequences shorter or longer than 1024 samples into any magnet-toolkit/mag-net-hub model. There is implicit resampling in the call to the toolkit built-in.

[ehavugi]

Removed the resampling