Alternatives and similar repositories for imagenet_validation

Users that are interested in imagenet_validation are comparing it to the libraries listed below

• geifmany / cifar-vgg
  VGG16 models for CIFAR-10 and CIFAR-100 using Keras
  ☆227Updated 3 years ago
• BayesWatch / cinic-10
  A drop-in replacement for CIFAR-10.
  ☆245Updated 4 years ago
• pkassraie / CNN_Visualizations
  Visualization of Adversarial Examples
  ☆34Updated 6 years ago
• shangtse / robust-physical-attack
  Physical adversarial attack for fooling the Faster R-CNN object detector
  ☆166Updated 5 years ago
• aamir-mustafa / pcl-adversarial-defense
  Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019
  ☆58Updated 5 years ago
• huanzhang12 / Adversarial_Survey
  Robustness vs Accuracy Survey on ImageNet
  ☆98Updated 4 years ago
• utkuozbulak / pytorch-cnn-adversarial-attacks
  Pytorch implementation of convolutional neural network adversarial attack techniques
  ☆360Updated 6 years ago
• DebangLi / one-pixel-attack-pytorch
  Pytorch reimplementation of "One pixel attack for fooling deep neural networks"
  ☆85Updated 7 years ago
• knjcode / cifar2png
  Convert CIFAR-10 and CIFAR-100 datasets into PNG images
  ☆143Updated last year
• PatrykChrabaszcz / Imagenet32_Scripts
  Scripts for Imagenet 32 dataset
  ☆153Updated 4 years ago
• bmsookim / wide-resnet.pytorch
  Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch
  ☆470Updated 5 years ago
• rmccorm4 / Tiny-Imagenet-200
  🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.
  ☆104Updated 6 years ago
• yeshaokai / Robustness-Aware-Pruning-ADMM
  Code release for "Adversarial Robustness vs Model Compression, or Both?"
  ☆91Updated 4 years ago
• Armour / pytorch-nn-practice
  💩 My pytorch neural network practice repo
  ☆51Updated 6 years ago
• barisozmen / deepaugment
  Discover augmentation strategies tailored for your dataset
  ☆250Updated 5 years ago
• uoguelph-mlrg / Cutout
  2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552
  ☆552Updated 5 years ago
• anuragarnab / adversarial-attacks
  Code for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"
  ☆103Updated 6 years ago
• fh295 / semanticCNN
  ☆69Updated 9 years ago
• bethgelab / robust-detection-benchmark
  Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS …
  ☆186Updated 6 years ago
• rwightman / pytorch-nips2017-attack-example
  A PyTorch baseline attack example for the NIPS 2017 adversarial competition
  ☆86Updated 8 years ago
• MadryLab / constructed-datasets
  Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"
  ☆186Updated 5 years ago
• val-iisc / fast-feature-fool
  Data independent universal adversarial perturbations
  ☆63Updated 5 years ago
• bethgelab / stylize-datasets
  A script that applies the AdaIN style transfer method to arbitrary datasets
  ☆161Updated 4 years ago
• tjmoon0104 / pytorch-tiny-imagenet
  pytorch-tiny-imagenet
  ☆181Updated last week
• evaluating-adversarial-robustness / adv-eval-paper
  LaTeX source for the paper "On Evaluating Adversarial Robustness"
  ☆255Updated 4 years ago
• rgeirhos / Stylized-ImageNet
  Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)
  ☆518Updated 3 months ago
• cg563 / simple-blackbox-attack
  Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"
  ☆198Updated 2 years ago
• inspire-group / advml-traffic-sign
  Code for the 'DARTS: Deceiving Autonomous Cars with Toxic Signs' paper
  ☆38Updated 7 years ago
• cihangxie / NIPS2017_adv_challenge_defense
  Mitigating Adversarial Effects Through Randomization
  ☆120Updated 7 years ago
• eclique / RISE
  Detect model's attention
  ☆168Updated 5 years ago