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mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

models

Models and examples built with TensorFlow

nafnet

The state-of-the-art image restoration model without nonlinear activation functions.

nattack

nn_robust_attacks

Robust evasion attacks against neural network to find adversarial examples

patch-wise-iterative-attack

Patch-wise iterative attack (accepted by ECCV 2020) to improve the transferability of adversarial examples.

perlin-numpy

A fast and simple perlin noise generator using numpy

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

pytorch-cifar

95.47% on CIFAR10 with PyTorch

pytorch-deform-conv-v2

PyTorch implementation of Deformable ConvNets v2 (Modulated Deformable Convolution)

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

pytorch-msssim

Fast and differentiable MS-SSIM and SSIM for pytorch.

pytorch-yolov3

Minimal PyTorch implementation of YOLOv3

pytorch_resnet_cifar10

Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

pytorch_universal-adversarial-perturbation

A PyTorch implementation of universal adversarial perturbation (UAP) which is more easy to understand and implement.

robustness

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

staircase-sign-method

Our simple but effective staircase sign method which boosts the transferability of both non-targeted and targeted attacks.

swinir

SwinIR: Image Restoration Using Swin Transformer (official repository)

targeted-universal-adversarial-perturbation

Extended Universal Adversarial Perturbation to targeted attack.

targeted_patch-wise-plusplus_iterative_attack

The extension of "Patch-wise Attack for Fooling Deep Neural Network (ECCV2020)", and we aim to boost the success rates of targeted attack.

tensorflow-generative-model-collections

Collection of generative models in Tensorflow

thesisuestc

ThesisUESTC-电子科技大学毕业论文模板

tianchiadversarial

Tianchi Image Adversarial Attack Competition 5th Solution

transfg

This is the official PyTorch implementation of the paper "TransFG: A Transformer Architecture for Fine-grained Recognition" (Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan Yuille).

transformer-xl

translation-invariant-attacks

The translation-invariant adversarial attack method to improve the transferability of adversarial examples.

uestc-thesis-latex-template

UESTC Thesis Latex Template

vt

Enhancing the Transferability of Adversarial Attacks through Variance Tuning

wuziyi616