ananChampion's Stars
eriklindernoren/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
hindupuravinash/the-gan-zoo
A list of all named GANs!
aladdinpersson/Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
YanG-1989/m3u
直播源
2hacc/TVBox
TVBox 网络接口,更新速度快,接口访问速度快且稳定!
cs230-stanford/cs230-code-examples
Code examples in pyTorch and Tensorflow for CS230
martinarjovsky/WassersteinGAN
xiaotudui/pytorch-tutorial
PyTorch深度学习快速入门教程(绝对通俗易懂!)
heykeetae/Self-Attention-GAN
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)
jiqizhixin/ML-Tutorial-Experiment
Coding the Machine Learning Tutorial for Learning to Learn
detectRecog/CCPD
[ECCV 2018] CCPD: a diverse and well-annotated dataset for license plate detection and recognition
open-mmlab/mmgeneration
MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.
ermongroup/ddim
Denoising Diffusion Implicit Models
dorarad/gansformer
Generative Adversarial Transformers
DataXujing/vehicle-license-plate-recognition
:fire: :fire::fire:基于Python的车牌检测和识别系统:
MadryLab/mnist_challenge
A challenge to explore adversarial robustness of neural networks on MNIST.
xuexingyu24/License_Plate_Detection_Pytorch
A two stage lightweight and high performance license plate recognition in MTCNN and LPRNet
Zhendong-Wang/Diffusion-GAN
Official PyTorch implementation for paper: Diffusion-GAN: Training GANs with Diffusion
LeapLabTHU/Agent-Attention
Official repository of Agent Attention (ECCV2024)
nuaatug/nuaathesis
LaTeX document class for NUAA, supporting bachelor/master/PH.D thesis in Chinese/English/Japanese. 南航本科、硕士、博士学位论文 LaTeX 模板
lyl8213/Plate_Recognition-LPRnet
Tensorflow based. Use CNN and CTC loss. It is a light network for Plate Recognition
mathcbc/advGAN_pytorch
a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).
Evolving-AI-Lab/fooling
Code base for "Deep Neural Networks are Easily Fooled" CVPR 2015 paper
yanminglai/Malware-GAN
Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017
wufans/Adversarial-Attack-Algorithms
ZaydH/MalwareGAN
Adversarial Malware Generator Using GANs
pratikpv/malware_classification
Transfer Learning for Image-Based Malware Classification
PowerLZY/MalGAN
主题为”基于GAN的恶意软件对抗样本生成“。首先介绍了恶意软件发展现状,引出基于模式匹配、特征空间和问题空间三种方式去检测恶意软件。然后介绍了如何生成对抗样本攻击恶意软件检测器,详细介绍了基于GAN的恶意软件对抗样本的MalGAN框架,并对实验结果进行了对比。最后总结了结构性对抗样本的约束:可用转换 、保留语义、似然性、副作用特征。
ananChampion/malware_bin_to_img
Transfer Learning for Image-Based Malware Classification
ananChampion/MalwareGAN_pytorch
Adversarial Malware Generator Using GANs