There are 19 repositories under adversarial-networks topic.
Awesome paper list with code about generative adversarial nets
Generative Adversarial Networks (GANs) resources sorted by citations
A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation
A-Fast-RCNN (CVPR 2017)
Implementation of Papers on Adversarial Examples
Awesome Domain Adaptation Python Toolbox
Tensorflow implementation of Adversarial Autoencoders
EANN: event-adversarial neural networks for multi-modal fake news detection
Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge
Code for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017
中文 预训练 ELECTRA 模型: 基于对抗学习 pretrain Chinese Model
Pytorch implementation of Image Manipulation with Perceptual Discriminators paper
Pytorch code to generate adversarial examples on mnist and ImageNet data.
Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation
Assessing Generative Models via Precision and Recall (official repository)
Adversarial Imitation Via Variational Inverse Reinforcement Learning
[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
Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning (CVPR2020)
A PyTorch Toolbox for creating adversarial examples that fool neural networks.
Tensorflow implementation of adversarial auto-encoder for MNIST
Code accompanying the paper "Semi-supervised adversarial audio source separation applied to singing voice extraction"
Adversarial Training on Transformer Networks to discover check-worthy factual claims
Domain Adaptation using External Knowledge for Sentiment Analysis
A Knet implementation of MLP GAN for MNIST data.
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples
A PyTorch implementation of image segmentation GAN from the paper "SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation".
Building-a-nets: robust building extraction from high-resolution remote sensing images with adversarial networks
Adversarial generation of gene expression data using Generative Adversarial Networks
The official pytorch code for paper "Facial Emotion Recognition with Noisy Multi-task Annotations" (2021 WACV)