chenyaofo / pytorch-cifar-models
Pretrained models on CIFAR10/100 in PyTorch
☆306Updated last year
Related projects: ⓘ
- pytorch-tiny-imagenet☆160Updated 9 months ago
- Pretrained TorchVision models on CIFAR10 dataset (with weights)☆633Updated last year
- This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.☆151Updated 3 years ago
- Tiny-ImageNet Classifier using Pytorch☆80Updated 5 years ago
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS'21 Benchmarks and Datasets Track]☆650Updated last month
- PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.☆239Updated 4 years ago
- Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)☆483Updated last year
- Reproduce CKA: Similarity of Neural Network Representations Revisited☆274Updated 4 years ago
- Corruption and Perturbation Robustness (ICLR 2019)☆1,002Updated 2 years ago
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆644Updated 4 months ago
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆422Updated last month
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆510Updated last year
- ☆215Updated last month
- PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 wit…☆167Updated 7 months ago
- PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks☆675Updated 5 months ago
- Let's train vision transformers (ViT) for cifar 10!☆515Updated last week
- Dataset Condensation (ICLR21 and ICML21)☆472Updated 9 months ago
- Pruning Neural Networks with Taylor criterion in Pytorch☆310Updated 4 years ago
- Empirical tricks for training robust models (ICLR 2021)☆249Updated last year
- ☆235Updated this week
- A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"☆144Updated 5 years ago
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆487Updated 3 years ago
- Code for coreset selection methods☆201Updated last year
- Code release for "Adversarial Robustness vs Model Compression, or Both?"☆88Updated 3 years ago
- Open-source code for paper "Dataset Distillation"☆770Updated 2 years ago
- PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.☆420Updated last year
- Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch☆457Updated 4 years ago
- This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks"…☆321Updated 11 months ago
- a pytorch implement of mobileNet v2 on cifar10☆60Updated last year
- Provable adversarial robustness at ImageNet scale☆360Updated 5 years ago