TorchadverA PyTorch Toolbox for creating adversarial examples that fool neural networks.
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nemesystGeneralised and highly customisable, hybrid-parallelism, database based, deep learning framework.
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danDemo code for the paper ''Distributional Adversarial Networks''
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ChromaganOfficial Implementation of ChromaGAN: An Adversarial Approach for Picture Colorization
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MCS2018 SolutionNo description or website provided.
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ManMultinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)
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AdversarialAudioSeparationCode accompanying the paper "Semi-supervised adversarial audio source separation applied to singing voice extraction"
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EAD AttackEAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples
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Electra中文 预训练 ELECTRA 模型: 基于对抗学习 pretrain Chinese Model
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precision-recall-distributionsAssessing Generative Models via Precision and Recall (official repository)
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Moving Semantic Transfer NetworkTensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation
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StudyAdversarialsSome of my experiments targeting adversarial instances
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Inverse rlAdversarial Imitation Via Variational Inverse Reinforcement Learning
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EANN-KDD18EANN: event-adversarial neural networks for multi-modal fake news detection
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GAN-70-Lines-of-JuliaA Knet implementation of MLP GAN for MNIST data.
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Adversarial-Examples-in-PyTorchPytorch code to generate adversarial examples on mnist and ImageNet data.
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tensorflow-mnist-AAETensorflow implementation of adversarial auto-encoder for MNIST
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