GitHub - rjl33/Band2Band: Machine learning model for metamaterials prediction using bandgap frequencies

rjl33 / Band2Band Public

Machine learning model for metamaterials prediction using bandgap frequencies

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Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
__pycache__		__pycache__
.gitignore		.gitignore
Data_Loader.py		Data_Loader.py
Final_Model.json		Final_Model.json
Final_Model.py		Final_Model.py
Full_Simple_CNN.py		Full_Simple_CNN.py
Transfer_Learning_CNN_Resnet50.py		Transfer_Learning_CNN_Resnet50.py
Transfer_Learning_Finer_Resolution.py		Transfer_Learning_Finer_Resolution.py
Transfer_Learning_class_loss.py		Transfer_Learning_class_loss.py
Trasnfer_Learning_CNN.py		Trasnfer_Learning_CNN.py
band2band_first_CN.ipynb		band2band_first_CN.ipynb
bandgap_cnn_simple.pth		bandgap_cnn_simple.pth
data_load.ipynb		data_load.ipynb