bmsookim / wide-resnet.pytorchLinks
Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch
☆477Updated 6 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
Sorting:
- Wide Residual Networks (WideResNets) in PyTorch☆347Updated 4 years ago
- 3.41% and 17.11% error on CIFAR-10 and CIFAR-100☆338Updated 7 years ago
- 2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552☆557Updated 5 years ago
- A drop-in replacement for CIFAR-10.☆247Updated 4 years ago
- Code for reproducing Manifold Mixup results (ICML 2019)☆495Updated last year
- This is the PyTorch implementation of VGG network trained on CIFAR10 dataset☆358Updated 6 years ago
- Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".☆351Updated 6 years ago
- pytorch-tiny-imagenet☆190Updated 3 weeks ago
- mixup: Beyond Empirical Risk Minimization☆1,199Updated 4 years ago
- A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)☆272Updated 5 years ago
- Pytorch implementation of convolutional neural network adversarial attack techniques☆364Updated 7 years ago
- Stochastic Weight Averaging in PyTorch☆977Updated 4 years ago
- Tools for generating mini-ImageNet dataset and processing batches☆453Updated 5 years ago
- ImageNet classifier with state-of-the-art adversarial robustness☆686Updated 6 years ago
- ☆524Updated 2 years ago
- Learning Confidence for Out-of-Distribution Detection in Neural Networks☆275Updated 7 years ago
- Scripts for Imagenet 32 dataset☆155Updated 4 years ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆552Updated 2 years ago
- Implementation of the mixup training method☆472Updated 7 years ago
- A simple and effective method for detecting out-of-distribution images in neural networks.☆539Updated 4 years ago
- Open-source code for paper "Dataset Distillation"☆820Updated 7 months ago
- Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improv…☆809Updated 2 years ago
- Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning☆239Updated 7 years ago
- Corruption and Perturbation Robustness (ICLR 2019)☆1,135Updated 3 years ago
- Light version of Network Dissection for Quantifying Interpretability of Networks☆221Updated 6 years ago
- PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.☆254Updated 5 years ago
- Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)☆524Updated 3 weeks ago
- PyTorch dataset for CUB-200-2011☆57Updated 3 years ago
- Unofficial PyTorch Reimplementation of RandAugment.☆638Updated 2 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆270Updated 4 years ago