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Dcgan Tensorflow ⭐ 6,761

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

Transfer Learning Library ⭐ 2,883

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

Textattack ⭐ 2,597

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

Attngan ⭐ 1,145

Ganomaly ⭐ 767

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

Discogan ⭐ 702

Official implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

Tf Dann ⭐ 580

Domain-Adversarial Neural Network in Tensorflow

Gan For Tabular Data ⭐ 442

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

Pytorch Domain Adaptation ⭐ 357

A collection of implementations of adversarial domain adaptation algorithms

DAGAN: Data Augmentation Generative Adversarial Networks

Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)

Pix2pix Pytorch ⭐ 252

PyTorch implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

Img2poem ⭐ 249

[MM'18] Beyond Narrative Description: Generating Poetry from Images by Multi-Adversarial Training

Pytorch Mnist Celeba Cgan Cdcgan ⭐ 221

Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

Awesome Tensorlayer ⭐ 212

A curated list of dedicated resources and applications

Video_prediction ⭐ 199

Stochastic Adversarial Video Prediction

Housegan ⭐ 169

House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation

Chromagan ⭐ 167

Official Implementation of ChromaGAN: An Adversarial Approach for Picture Colorization

At4chinesener ⭐ 160

Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism

Constructed Datasets ⭐ 144

Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"

This is the implementation for Local Adversarial Disentangling Network for Facial Makeup and De-Makeup

Repository for paper "SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference"

SegAN: Semantic Segmentation with Adversarial Learning

Acl Gan ⭐ 127

Unpaired Image-to-Image Translation using Adversarial Consistency Loss, ECCV 2020

Gaal Based Outlier Detection ⭐ 121

GAAL-based Outlier Detection

Gan Mri ⭐ 118

Code repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT'

Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"

This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.

Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation (ECCV 2020) (Pytorch)

Video Summarization Resources ⭐ 80

Video Summarization Dataset, Papers, Codes

Stabilizing_gans ⭐ 78

Code for the NIPS17 paper "Stabilizing Training of Generative Adversarial Networks through Regularization"

Unsupervised Anomaly Detection With Generative Adversarial Networks ⭐ 74

Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset

A PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper "SEGAN: Speech Enhancement Generative Adversarial Network"

Clustergan ⭐ 69

Latent space clustering in Generative Adversarial Network (GAN)

Pugan Pytorch ⭐ 63

Pytorch unofficial implementation of PUGAN (a Point Cloud Upsampling Adversarial Network, ICCV, 2019)

GANs with multiple Discriminators

Source code and dataset for NAACL 2019 paper "Adversarial Training for Weakly Supervised Event Detection".

Adversarialaudioseparation ⭐ 59

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

Eann Kdd18 ⭐ 57

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

Adversarial Object Removal ⭐ 57

Code base for our paper " Adversarial Scene Editing: Automatic Object Removal from Weak Supervision" appearing in NIPS 2018.

Speech-conditioned face generation using Generative Adversarial Networks

Generative_zoo ⭐ 50

Robust Adv Malware Detection ⭐ 49

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

Deblurgan Tf ⭐ 49

Tensorflow implementation of DeblurGAN(Blind Motion Deblurring Using Conditional Adversarial Networks)

Evolutionarygan ⭐ 48

Evolutionary Generative Adversarial Networks (E-GAN)

Uncertainty Adversarial Paper ⭐ 46

Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'

Ct Denoising Review ⭐ 42

review of CT denoising paper

Sp Aen.cvpr18 ⭐ 38

Zero-Shot Visual Recognition using Semantic-Preserving Adversarial Embedding Networks

Adversarial Learning Distant Supervision Re ⭐ 37

DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction

Official PyTorch implementation of CIAGAN

(ECCV 2020) Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation

Decorrelated Adversarial Learning ⭐ 34

This is an unofficial implementation for the 2019 ICCV paper 'Decorrelated Adversarial Learning for Age-Invariant Face Recognition' from Tencent AI Lab

Code for "Adversarial-Learned Loss for Domain Adaptation"(AAAI2020) in PyTorch.

Pytorch_universal Adversarial Perturbation ⭐ 33

A PyTorch implementation of universal adversarial perturbation (UAP) which is more easy to understand and implement.

Mdl Stance Robustness ⭐ 31

Multi-dataset stance detection and robustness experiments

Official re-implementation of the Calibrated Adversarial Refinement model described in the paper "Calibrated Adversarial Refinement for Stochastic Semantic Segmentation"

Code release of a paper "Guiding Deep Learning System Testing using Surprise Adequacy"

Generative Adversarial Networks for Computationally Efficient Radiotherapy

Deep Non-Adversarial Gesture Generation

Simgan_pytorch ⭐ 28

[Refer to wayaai/SimGAN(Keras&Tensorflow)] Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training

Hypergans ⭐ 27

Generative Adversarial Networks for synthetic hyperspectral data generation.

Codes for our paper at EMNLP2019

Multiscale Adversarial Attention Gates ⭐ 24

Code for the paper: Valvano G. et al. (2021), Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates

Source code and dataset for COLING2018 paper "Adversarial Multi-lingual Neural Relation Extraction".

Adversarial Examples ⭐ 23

Adversarial Examples: Attacks and Defenses for Deep Learning

Code for “Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis”

Seizure Prediction Gan ⭐ 21

Epileptic Seizure Forecasting with Generative Adversarial Networks

Adversarial_time_to_event ⭐ 21

ICML 2018: "Adversarial Time-to-Event Modeling"

3dgan Chainer ⭐ 20

📦 A Chainer implementation of 3D Generative Adversarial Network.

Winogrande ⭐ 20

WinoGrande: An Adversarial Winograd Schema Challenge at Scale

Adversebinet ⭐ 19

Improving Document Binarization via Adversarial Noise-Texture Augmentation

Wavegan Pytorch ⭐ 19

PyTorch implementation of " Synthesizing Audio with Generative Adversarial Networks"

Porting pytorch dcgan on FloydHub

Code of Gradually Vanishing Bridge for Adversarial Domain Adaptation (CVPR2020)

HexaGAN: Generative Adversarial Nets for Real World Classification

Long Tail Gan ⭐ 17

Adversarial learning framework to enhance long-tail recommendation in Neural Collaborative Filtering

R Mnet Inpainting Keras ⭐ 15

R-MNET: A Perceptual Adversarial Network for Image Inpainting model in Keras

Aae Recommender ⭐ 15

Adversarial Autoencoders for Recommendation Tasks

Pytorch Pix2pix ⭐ 15

a fork of pytorch-pix2pix

Comixgan ⭐ 14

ComixGAN - Generative Adversarial Network for transfering images to comics

Adversarial Classifier ⭐ 14

It turns out that adversarial and clean data are not twins, not at all.

Pvl8dagans ⭐ 14

Code of work Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V images for Cloud Detection

Argf_multimodal_fusion ⭐ 14

codes for: Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion

Pytorch implementation of DANN

Codes for Category-aware Generative Adversarial Networks (AAAI 2020)

Code for “Adversarial Learning with Local Coordinate Coding”

Embedding_gan ⭐ 13

Embedding Adversarial Learning for Vehicle Re-Identification

PyTorch implementation of paper: adVAE: a Self-adversarial Variational Autoencoder with Gaussian Anomaly Prior Knowledge for Anomaly Detection

A Progressive Fusion Generative Adversarial Network for Realistic and Consistent Video Super-Resolution

Adverserial_attack ⭐ 12

Different Adversarial attack methods implemented in PyTorch on CIFAR-10 Dataset

Code release for "Transfer Adversarial Hashing for Hamming Space Retrieval" (AAAI 2018)

Bayesian Adversarial Learning ⭐ 11

Cloudmattinggan ⭐ 11

Generative Adversarial Training for Weakly Supervised Cloud Matting, in ICCV 2019

Colorfool ⭐ 11

PyTorch implementation of ColorFool: Semantic Adversarial Colorization, CVPR2020

Data Free_network_quantization_with_adversarial_knowledge_distillation ⭐ 11

Data-Free Network Quantization With Adversarial Knowledge Distillation PyTorch

Fooling_neural_network Interpretations ⭐ 10

This repository provides a PyTorch implementation of "Fooling Neural Network Interpretations via Adversarial Model Manipulation". Our paper has been accepted to NeurIPS 2019.

Repository for the paper "An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs"

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