Showing 1-10 of 10 projects
A PyTorch implementation of a CIFAR10 model achieving 95.47% accuracy.
A PyTorch repository providing pre-trained models and datasets for common computer vision tasks.
A PyTorch library for exploring deep and shallow knowledge distillation experiments with flexibility.
PyTorch-based library for image classification tasks like CIFAR-10, CIFAR-100, and ImageNet.
A PyTorch-based framework for reproducible deep learning studies with 26 knowledge distillation methods.
A PyTorch implementation of image classification models for popular datasets like CIFAR-10, ImageNet, and more.
Properly implemented ResNet-s for CIFAR10/100 in PyTorch, matching the original paper description.
Fast CIFAR-10 training to state-of-the-art accuracy using PyTorch and a specialized CNN architecture.
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution.
A Python library that implements the mixup data augmentation technique for improving model performance on the CIFAR-10 dataset.
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