zhangzp9970

andOTP

[Unmaintained] Open source two-factor authentication for Android

ACGAN-PyTorch

Unofficial Auxiliary Classifier GAN implementation (based on https://github.com/clvrai/ACGAN-PyTorch)

AdaIN-style

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

adda

Amplified-MIA

Official code for paper: Z. Zhang, X. Wang, J. Huang and S. Zhang, "Analysis and Utilization of Hidden Information in Model Inversion Attacks," in IEEE Transactions on Information Forensics and Security, doi: 10.1109/TIFS.2023.3295942

CNS

Crypto System designed for cryptographic class in southeast university

DA-MIA

Official code for paper: Z. Zhang and J. Huang, “Aligning the domains in cross domain model inversion attack,” Neural Networks, vol. 178, p. 106490, Oct. 2024, doi: 10.1016/j.neunet.2024.106490.

MIA

Unofficial pytorch implementation of paper: Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures

torchplus

torchplus is a utilities library that extends pytorch and torchvision

VisioNeuralNet

Accelerate your research by easily plotting beautiful neural networks in Microsoft Visio!

zhangzp9970/CNS

Crypto System designed for cryptographic class in southeast university

zhangzp9970/ACGAN-PyTorch

Unofficial Auxiliary Classifier GAN implementation (based on https://github.com/clvrai/ACGAN-PyTorch)

zhangzp9970/animegan2-pytorch

PyTorch implementation of AnimeGANv2

zhangzp9970/AnimeGANv2

[Open Source]. The improved version of AnimeGAN. Landscape photos/videos to anime

zhangzp9970/blog

Some notes on things I find interesting and important.

zhangzp9970/CD-VAE

[NeurIPS 2021] "Class-Disentanglement and Applications in Adversarial Detection and Defense"

zhangzp9970/CelebAMask-HQ

A large-scale face dataset for face parsing, recognition, generation and editing.

zhangzp9970/CharacterGAN

CharacterGAN: Few-Shot Keypoint Character Animation and Reposing (Best Paper WACV 2022)

zhangzp9970/dlg

[NeurIPS 2019] Deep Leakage From Gradients

zhangzp9970/DSGAN

Implementation of Diversity-Sensitive Conditional Generative Adversarial Networks (ICLR 2019)

zhangzp9970/EnlightenGAN

[IEEE TIP'2021] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang

zhangzp9970/Knowledge-Enriched-DMI

zhangzp9970/MAAD-Face

A face database with a large number of high-quality attribute annotations

zhangzp9970/mixed-segdec-net-comind2021

Official PyTorch implementation for "Mixed supervision for surface-defect detection: from weakly to fully supervised learning"

zhangzp9970/Multicore-TSNE

Parallel t-SNE implementation with Python and Torch wrappers.

zhangzp9970/photo2cartoon

人像卡通化探索项目 (photo-to-cartoon translation project)

zhangzp9970/piq

Measures and metrics for image2image tasks. PyTorch.

zhangzp9970/PlotNeuralNet

Latex code for making neural networks diagrams

zhangzp9970/progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

zhangzp9970/pytorch-msssim

Fast and differentiable MS-SSIM and SSIM for pytorch.

zhangzp9970/pytorch_GAN_zoo

A mix of GAN implementations including progressive growing

zhangzp9970/RepMLP

RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition

zhangzp9970/SEU-Beamer-Slide

东南大学幻灯片模板（豪华版）:clipboard:

zhangzp9970/single_img_pretraining

Code for generating a single image pretraining dataset

zhangzp9970/SplitFed-When-Federated-Learning-Meets-Split-Learning

Releasing the source code Version1.

zhangzp9970/Transfer-Learning-Library

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

zhangzp9970/VGG-MNIST-style-transfer

VGG based calligraphy style transfer for handwritten numbers from MNIST dataset

zhangzp9970/vmi

Code for "Variational Model Inversion Attacks" Wang et al., NeurIPS2021

zhangzp9970/vscode-extension-samples

Sample code illustrating the VS Code extension API.

zhangzp9970/warfit-learn

A machine learning toolkit for reproducible research in warfarin dose estimation.