Showing 1-10 of 10 projects
A PyTorch implementation of a CIFAR10 model achieving 95.47% accuracy.
A PyTorch repository for practicing image classification on the CIFAR-100 dataset using various deep learning models.
A simple implementation of the Denoising Diffusion Probability Model (DDPM) for training a U-Net on the CIFAR-10 dataset.
PyTorch-based library for image classification tasks like CIFAR-10, CIFAR-100, and ImageNet.
Unofficial implementation of AutoAugment, a powerful data augmentation technique for computer vision tasks.
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.
This is a deep learning library for building wide residual networks, a type of convolutional neural network.
Fast CIFAR-10 training to state-of-the-art accuracy using PyTorch and a specialized CNN architecture.
A Python library that implements the mixup data augmentation technique for improving model performance on the CIFAR-10 dataset.
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