#计算机科学#Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, N...
翻译 - 在cifar100上进行实践（ResNet，DenseNet，VGG，GoogleNet，InceptionV3，InceptionV4，Inception-ResNetv2，Xception，Resnet In Resnet，ResNext，ShuffleNet，ShuffleNetv2，MobileNet，MobileNetv2，SqueezeNet，NasNet，残留注意力网络，SENet）
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
mixup: Beyond Empirical Risk Minimization
cifar10数据集上进行图片分类，基于tensorflow框架，旨在探究不同的改进策略对分类准确率的影响，如何一步步得提高准确率
pytorch and cifar10
A challenge to explore adversarial robustness of neural networks on CIFAR10.
Pretrained TorchVision models on CIFAR10 dataset (with weights)
#计算机科学#Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)
Dataset :CIFAR10
Reimplementation ResNet on cifar10 with caffe
Pretrained models on CIFAR10/100 in PyTorch
Code for Kaggle-CIFAR10 competition. 5th place.
Simple Tensorflow implementation of Densenet using Cifar10, MNIST
Simple Tensorflow implementation of ResNeXt using Cifar10
image classification with CIFAR10 dataset w/ Tensorflow
Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST
Predict CIFAR-10 labels with 88% accuracy using keras.
Simple PyTorch implementations of Badnets on MNIST and CIFAR10.
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552
This is the PyTorch implementation of VGG network trained on CIFAR10 dataset