Alternatives and similar repositories for PyTorch_CIFAR10:

Users that are interested in PyTorch_CIFAR10 are comparing it to the libraries listed below

• chenyaofo / pytorch-cifar-models
  Pretrained models on CIFAR10/100 in PyTorch
  ☆334Updated last year
• fra31 / auto-attack
  Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
  ☆679Updated 9 months ago
• tjmoon0104 / pytorch-tiny-imagenet
  pytorch-tiny-imagenet
  ☆170Updated last year
• akamaster / pytorch_resnet_cifar10
  Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
  ☆1,250Updated 7 months ago
• bmsookim / wide-resnet.pytorch
  Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch
  ☆464Updated 5 years ago
• RobustBench / robustbench
  RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]
  ☆693Updated last week
• MadryLab / robustness
  A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.
  ☆926Updated last year
• yaodongyu / TRADES
  TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)
  ☆529Updated last year
• MadryLab / cifar10_challenge
  A challenge to explore adversarial robustness of neural networks on CIFAR10.
  ☆489Updated 3 years ago
• ylsung / pytorch-adversarial-training
  PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.
  ☆246Updated 4 years ago
• BorealisAI / advertorch
  A Toolbox for Adversarial Robustness Research
  ☆1,322Updated last year
• hendrycks / robustness
  Corruption and Perturbation Robustness (ICLR 2019)
  ☆1,045Updated 2 years ago
• amirgholami / PyHessian
  PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
  ☆719Updated 9 months ago
• kentaroy47 / vision-transformers-cifar10
  Let's train vision transformers (ViT) for cifar 10!
  ☆586Updated 2 weeks ago
• locuslab / fast_adversarial
  [ICLR 2020] A repository for extremely fast adversarial training using FGSM
  ☆441Updated 6 months ago
• locuslab / smoothing
  Provable adversarial robustness at ImageNet scale
  ☆381Updated 5 years ago
• ganguli-lab / Synaptic-Flow
  ☆221Updated 6 months ago
• ndb796 / Pytorch-Adversarial-Training-CIFAR
  This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.
  ☆162Updated 3 years ago
• NVlabs / DeepInversion
  Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)
  ☆493Updated 2 years ago
• rahulvigneswaran / Lottery-Ticket-Hypothesis-in-Pytorch
  This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks"…
  ☆327Updated last year
• thu-ml / ares
  A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
  ☆496Updated last year
• chengyangfu / pytorch-vgg-cifar10
  This is the PyTorch implementation of VGG network trained on CIFAR10 dataset
  ☆348Updated 5 years ago
• tjmoon0104 / Tiny-ImageNet-Classifier
  Tiny-ImageNet Classifier using Pytorch
  ☆88Updated 6 years ago
• P2333 / Papers-of-Robust-ML
  Related papers for robust machine learning
  ☆566Updated last year
• JJGO / shrinkbench
  PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.
  ☆428Updated last year
• Harry24k / adversarial-attacks-pytorch
  PyTorch implementation of adversarial attacks [torchattacks]
  ☆1,962Updated 7 months ago
• MadryLab / mnist_challenge
  A challenge to explore adversarial robustness of neural networks on MNIST.
  ☆740Updated 2 years ago
• BayesWatch / cinic-10
  A drop-in replacement for CIFAR-10.
  ☆239Updated 3 years ago
• xternalz / WideResNet-pytorch
  Wide Residual Networks (WideResNets) in PyTorch
  ☆336Updated 3 years ago
• omihub777 / ViT-CIFAR
  PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 wit…
  ☆179Updated last year