Data augmentation for Captcha
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Updated
Apr 9, 2017 - Python
Data augmentation for Captcha
Implementation of 'Simple Black-Box Adversarial Perturbations for Deep Networks' https://openreview.net/pdf?id=SJCscQcge
Tensorflow code to perform targeted advesarial attacks on inception v3.
The code of "Invertible conditional GANs for image editing" in tensorflow
Tensorflow implementation of adversarial auto-encoder for MNIST
The simplest implementation for playing Atari games using game screen as input.
Adversarial Machine Translation with pytorch
A-Fast-RCNN (CVPR 2017)
Adapted representation of synthetic data to real world data.
sentiment analysis on multi-tasks using adversarial network
Collection of generative models in Pytorch version.
Pytorch implementation of https://github.com/val-iisc/nag
Building-a-nets: robust building extraction from high-resolution remote sensing images with adversarial networks
Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation
Practice Deep Learning with Tensorflow, Keras, and pure Numpy, including BP algo, CNN, RNN, AotoEncoder, and Adversarial AotoEncoder.
Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge
[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
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