Ensemble model for image classification on Cifar10 dataset

Image classification using an ensemble ResNet18 model on Cifar10 dataset. Python 3.9, pytorch 1.10.1+cuda11.3, torchvision 0.11.2+cuda11.3, and timm 0.9.2 were used to formulate the training and testing codes. The testing accuracy of 97.26% was achieved.

• for training use the following command:

python train.py

• for testing use the following command:

python test.py