Popular GitHub Repositories for Cifar10 Classification

:star: Make Once for All support CIFAR10 dataset.

To evaluate the performance of each regularization method (cutout, mixup, and self-supervised rotation predictor), we apply it to the CIFAR-10 dataset using a deep residual network with a depth of 20 (ResNet20)

Разработка сверточной нейронной сети для классификации изображений

This project is one of the Computational Intelligence course projects in the spring of 2023, and it includes code related to training neural networks with gradient descent, training neural network using neuroevolution, Neural Architecture Search (NAS), and Self-Organizing Maps (SOM)

This project evaluates the robustness of image classification models against adversarial attacks using two key metrics: Adversarial Distance and CLEVER. The study employs variants of the WideResNet model, including a standard and a corruption-trained robust model, trained on the CIFAR-10 dataset. Key insights reveal that the CLEVER Score serves as