. ├── model │ ├── HCGNet │ ├── densenet │ ├── dla │ ├── dpn │ ├── efficientnet │ ├── efficientnetV2 │ ├── mobilenetV3 │ ├── pyramidnet │ ├── resnet │ ├── resnext │ ├── vgg │ └── vit ├── notebooks │ ...

train_labels = np.load("train_labels.npy") # Load CIFAR-10 labels test_labels = np.load("test_labels.npy") # Load CIFAR-10 labels ...

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Body Dimensions 171.8 x 78 x 8.9 mm (6.76 x 3.07 x 0.35 in) ...