huyvnphan / PyTorch_CIFAR10Links
Pretrained TorchVision models on CIFAR10 dataset (with weights)
☆680Updated 2 years ago
Alternatives and similar repositories for PyTorch_CIFAR10
Users that are interested in PyTorch_CIFAR10 are comparing it to the libraries listed below
Sorting:
- Pretrained models on CIFAR10/100 in PyTorch☆365Updated 4 months ago
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆714Updated last year
- pytorch-tiny-imagenet☆180Updated last year
- Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.☆1,308Updated last year
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆738Updated 5 months ago
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆501Updated 4 years ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆543Updated 2 years ago
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆446Updated last year
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆946Updated last year
- PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.☆251Updated 5 years ago
- Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch☆470Updated 5 years ago
- Let's train vision transformers (ViT) for cifar 10 / cifar 100!☆671Updated last month
- Tiny-ImageNet Classifier using Pytorch☆91Updated 6 years ago
- A Toolbox for Adversarial Robustness Research☆1,353Updated 2 years ago
- Provable adversarial robustness at ImageNet scale☆398Updated 6 years ago
- Corruption and Perturbation Robustness (ICLR 2019)☆1,096Updated 3 years ago
- A challenge to explore adversarial robustness of neural networks on MNIST.☆755Updated 3 years ago
- PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks☆756Updated 2 months ago
- A smaller subset of 10 easily classified classes from Imagenet, and a little more French☆1,061Updated 2 years ago
- This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.☆169Updated 4 years ago
- Related papers for robust machine learning☆567Updated 2 years ago
- This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks"…☆333Updated last year
- PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 wit…☆198Updated last year
- PyTorch Implementation of Adversarial Training for Free!☆248Updated 4 years ago
- A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.☆514Updated last year
- This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet…☆429Updated 7 years ago
- Benchmarking various Computer Vision models on TinyImageNet Dataset☆33Updated 2 years ago
- Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch☆340Updated last year
- A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"☆156Updated 6 years ago
- This is the PyTorch implementation of VGG network trained on CIFAR10 dataset☆355Updated 6 years ago