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adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks.

adversarial_robustness_pytorch

Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples" & "Fixing Data Augmentation to Improve Adversarial Robustness" in PyTorch

awp

Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"

celeba

dataset

dcnv2

Deformable Convolutional Networks v2 with Pytorch

ddrnet.pytorch

This is the unofficial code of Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes. which achieve state-of-the-art trade-off between accuracy and speed on cityscapes and camvid, without using inference acceleration and extra data

deepmind_adversarial_robustness

This is a copy of deepmind's adversarial robustness repo

efficient-ai-backbones

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

fapn-full

[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

iismokefire

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

nsga-net

NSGA-Net, a Neural Architecture Search Algorithm

once-for-all

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

poolformer-1

PoolFormer: MetaFormer is Actually What You Need for Vision

pvt

pytorch-cifar

95.47% on CIFAR10 with PyTorch

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

resnext.pytorch

Reproduces ResNet-V3 with pytorch

robust-residual-network

Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective

robustbench

RobustBench: a standardized adversarial robustness benchmark [NeurIPS'21 Benchmarks and Datasets Track]

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

shihuahuang95.github.io

Shihua Huang's home page

sologan

Multimodal image-to-image translation via a single generative adversarial network

swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

vits-vs-cnns

[NeurIPS 2021]: Are Transformers More Robust Than CNNs? (Pytorch implementation & checkpoints)