33 Open source projects that are alternatives of or similar to StudyAdversarials

Demo code for the paper ''Distributional Adversarial Networks''

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

Tensorflow implementation of adversarial auto-encoder for MNIST

Assessing Generative Models via Precision and Recall (official repository)

No description or website provided.

EANN: event-adversarial neural networks for multi-modal fake news detection

Generalised and highly customisable, hybrid-parallelism, database based, deep learning framework.

EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples

Tensorflow implementation of Adversarial Autoencoders

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

Official Implementation of ChromaGAN: An Adversarial Approach for Picture Colorization

Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation

A PyTorch Toolbox for creating adversarial examples that fool neural networks.

Adversarial Imitation Via Variational Inverse Reinforcement Learning

Multinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)

Code repository for the paper "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware"

Generative Adversarial Networks (GANs) resources sorted by citations

Awesome paper list with code about generative adversarial nets

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

A-Fast-RCNN (CVPR 2017)

AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation

Implementation of Papers on Adversarial Examples

Awesome Domain Adaptation Python Toolbox

No description or website provided.

Pytorch implementation of Image Manipulation with Perceptual Discriminators paper

The code of "Invertible conditional GANs for image editing" in tensorflow

A Knet implementation of MLP GAN for MNIST data.

Code accompanying the paper "Semi-supervised adversarial audio source separation applied to singing voice extraction"

Pytorch code to generate adversarial examples on mnist and ImageNet data.

Adversarially Occluded Samples for Person Re-identification, CVPR 2018