bmsookim / wide-resnet.pytorch
Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch
☆467Updated 5 years ago
Alternatives and similar repositories for wide-resnet.pytorch:
Users that are interested in wide-resnet.pytorch are comparing it to the libraries listed below
- Wide Residual Networks (WideResNets) in PyTorch☆336Updated 3 years ago
- 2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552☆551Updated 5 years ago
- 3.41% and 17.11% error on CIFAR-10 and CIFAR-100☆332Updated 6 years ago
- mixup: Beyond Empirical Risk Minimization☆1,177Updated 3 years ago
- A drop-in replacement for CIFAR-10.☆240Updated 4 years ago
- Code for reproducing Manifold Mixup results (ICML 2019)☆487Updated last year
- Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".☆344Updated 5 years ago
- pytorch-tiny-imagenet☆174Updated last year
- A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)☆272Updated 4 years ago
- Implementation of the mixup training method☆466Updated 6 years ago
- ImageNet classifier with state-of-the-art adversarial robustness☆682Updated 5 years ago
- Unofficial PyTorch Reimplementation of RandAugment.☆634Updated 2 years ago
- Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.☆594Updated 4 years ago
- Standardizing weights to accelerate micro-batch training☆547Updated 3 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆984Updated last week
- Stochastic Weight Averaging in PyTorch☆969Updated 3 years ago
- A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)☆469Updated 7 years ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆533Updated 2 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆186Updated 6 years ago
- Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.☆1,269Updated 9 months ago
- Pytorch implementation of convolutional neural network adversarial attack techniques☆356Updated 6 years ago
- PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.☆249Updated 4 years ago
- experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN a…☆724Updated 6 years ago
- Corruption and Perturbation Robustness (ICLR 2019)☆1,060Updated 2 years ago
- PyTorch implementation of AutoAugment.☆159Updated 4 years ago
- Tools for generating mini-ImageNet dataset and processing batches☆437Updated 4 years ago
- Implementation for the paper (CVPR Oral): High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks☆237Updated 4 years ago
- Pretrained bag-of-local-features neural networks☆312Updated 5 years ago
- Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow☆1,479Updated last year
- Learning Confidence for Out-of-Distribution Detection in Neural Networks☆271Updated 6 years ago