VivianGyx

VivianGyx's Stars

• ZSHsh98/EPS-AD

  This is the source code for Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score (ICML2023).

  Language:Python372

• Ksuryateja/pytorch-cifar10

  Training model architectures like VGG16, GoogLeNet, DenseNet etc on CIFAR-10 dataset

  Language:Python163

• scilearner/papernotclear

  蜻蜓点论文 Think不Clear， 论文解读视频上传B站， youtube， 西瓜视频（同步到抖音）

  Language:Python24219

• dyweb/awesome-resume-for-chinese

  :page_facing_up: 适合中文的简历模板收集（LaTeX，HTML/JS and so on）由 @hoochanlon 维护

  5.4k420

• MTandHJ/roboc

  An Orthogonal Classifier for Improving the Adversarial Robustness of Neural Networks

  Language:Python14

• NoWindButRain/IMPure

  Language:Python3

• ID-FR/IDFR

  Language:Jupyter Notebook2

• tly18/TPAP

  Language:Python101

• cfinlay/tulip

  Scaleable input gradient regularization

  Language:Python224

• lxuniverse/defense-vae

  Implementation for "Defense-VAE: A Fast and Accurate Defense against Adversarial Attacks"

  Language:Python132

• quanlin-wu/dmae

  Denoising Masked Autoencoders Help Robust Classification.

  Language:Python624

• chihhuiho/disco

  Language:Python122

• rshaojimmy/OSAD

  [ECCV 2020] Pytorch codes for Open-set Adversarial Defense

  Language:Python233

• anushkayadav/Denoising_cifar10

  Contains implementation of denoising algorithms.

  Language:Jupyter Notebook111

• WenCongWu/DRANet

  Dual residual attention network for image denoising (Pattern Recognition, 2024)

  Language:Python392

• hermish/ZMZM-ICLR-2020

  Code for "Understanding l4-Based Dictionary Learning: Interpretation, Stability, and Robustness."

  Language:MATLAB86

• tsachiblau/Threat-Model-Agnostic-Adversarial-Defense-using-Diffusion-Models

  Language:Python11

• ychfan/pt_ir

  Image Restoration Toolkit in PyTorch

  Language:Python376

• btolooshams/stable-interpretable-unrolled-dl

  PUDLE (Provable Unfolded Dictionary LEarning)

  Language:Python6

• vccimaging/Stochastic-Convolutional-Sparse-Coding

  Language:MATLAB71

• cszn/KAIR

  Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

  Language:Python3.1k652

• kfallah/variational-sparse-coding

  Language:Python91

• Delay-Xili/SDNet

  An official codebase of paper "Revisiting Sparse Convolutional Model for Visual Recognition"

  Language:Python1246

• benMen87/ApproximateConvolutionalSparseCoding

  An implementation of approximate convolutional sparse coding (CSC) based on paper: https://arxiv.org/abs/1711.00328

  Language:Python4310

• Ha0Tang/DDLCN

  [WACV 2019 Oral] Deep Micro-Dictionary Learning and Coding Network

  Language:C++4015

• btolooshams/crsae

  CRsAE (constrained recurrent sparse autoencoder)

  Language:Jupyter Notebook14

• cszn/DnCNN

  Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

  Language:MATLAB1.5k539

• btolooshams/dea

  DEA (deep exponential auto-encoder)

  Language:Python72

• FT-ZHOU-ZZZ/DSDL

  PyTorch implementation of Deep Semantic Dictionary Learning for Multi-label Image Classification, AAAI 2021.

  Language:Python479

• liutianlin0121/musc

  Implementation of "Learning Multiscale Convolutional Dictionaries for Image Reconstruction", IEEE Transaction On Computational Imaging, 2022.

  Language:Jupyter Notebook299