adversarial-networks
There are 137 repositories under adversarial-networks topic.
zhangqianhui/AdversarialNetsPapers
Awesome paper list with code about generative adversarial nets
GKalliatakis/Delving-deep-into-GANs
Generative Adversarial Networks (GANs) resources sorted by citations
dyelax/Adversarial_Video_Generation
A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.
hollobit/All-About-the-GAN
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
Ha0Tang/AttentionGAN
AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation
xiaolonw/adversarial-frcnn
A-Fast-RCNN (CVPR 2017)
sarathknv/adversarial-examples-pytorch
Implementation of Papers on Adversarial Examples
adapt-python/adapt
Awesome Domain Adaptation Python Toolbox
conan7882/adversarial-autoencoders
Tensorflow implementation of Adversarial Autoencoders
yaqingwang/EANN-KDD18
EANN: event-adversarial neural networks for multi-modal fake news detection
pvitoria/ChromaGAN
Official Implementation of ChromaGAN: An Adversarial Approach for Picture Colorization
mohitzsh/Adversarial-Semisupervised-Semantic-Segmentation
Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge
tsenghungchen/show-adapt-and-tell
Code for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017
CLUEbenchmark/ELECTRA
中文 预训练 ELECTRA 模型: 基于对抗学习 pretrain Chinese Model
egorzakharov/PerceptualGAN
Pytorch implementation of Image Manipulation with Perceptual Discriminators paper
akshaychawla/Adversarial-Examples-in-PyTorch
Pytorch code to generate adversarial examples on mnist and ImageNet data.
Mid-Push/Moving-Semantic-Transfer-Network
Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation
msmsajjadi/precision-recall-distributions
Assessing Generative Models via Precision and Recall (official repository)
ALFA-group/robust-adv-malware-detection
[IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik Hemberg, Una-May O’Reilly
cvlab-stonybrook/Scanpath_Prediction
Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning (CVPR2020)
ahq1993/inverse_rl
Adversarial Imitation Via Variational Inverse Reinforcement Learning
nebula-beta/torchadver
A PyTorch Toolbox for creating adversarial examples that fool neural networks.
hwalsuklee/tensorflow-mnist-AAE
Tensorflow implementation of adversarial auto-encoder for MNIST
f90/AdversarialAudioSeparation
Code accompanying the paper "Semi-supervised adversarial audio source separation applied to singing voice extraction"
ccsasuke/man
Multinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)
nikitaa30/Manga-GAN
Generative Adversarial Network for Manga-face Generation
utaresearch/claimbuster-spotter
Adversarial Training on Transformer Networks to discover check-worthy factual claims
declare-lab/kingdom
Domain Adaptation using External Knowledge for Sentiment Analysis
ekinakyurek/GAN-70-Lines-of-Julia
A Knet implementation of MLP GAN for MNIST data.
ysharma1126/EAD_Attack
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples
gokriznastic/SegAN
A PyTorch implementation of image segmentation GAN from the paper "SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation".
LivXue/GNN4CMR
PyTorch implementation of the AAAI-21 paper "Dual Adversarial Label-aware Graph Neural Networks for Cross-modal Retrieval" and the TPAMI-22 paper "Integrating Multi-Label Contrastive Learning with Dual Adversarial Graph Neural Networks for Cross-Modal Retrieval".
lixiang-ucas/Building-A-Nets
Building-a-nets: robust building extraction from high-resolution remote sensing images with adversarial networks
kefirski/amt
Adversarial Machine Translation with pytorch
rvinas/adversarial-gene-expression
Adversarial generation of gene expression data using Generative Adversarial Networks
sanweiliti/noisyFER
The official pytorch code for paper "Facial Emotion Recognition with Noisy Multi-task Annotations" (2021 WACV)