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The Top 23 Machine Learning Adversarial Open Source Projects

Open source projects categorized as Machine Learning Adversarial
Categories > Adversarial
Categories > Machine Learning > Machine Learning
Adverserial_attack ⭐ 12
Different Adversarial attack methods implemented in PyTorch on CIFAR-10 Dataset
most recent commit 6 years ago
Ml Image Denoising ⭐ 12
Image denoising using PCA, NMF, K-SVD, Spectral decomposition, CNN and state of the art generative adversarial denoising autoencoder
most recent commit 7 years ago
Good_ml_blogs ⭐ 11
Listing worthy Machine Learning blogs
most recent commit 5 months ago
Cxr_adv ⭐ 10
Repository for the paper "An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs"
most recent commit 4 years ago
Ganmm ⭐ 10
Mixture of Generative Adversarial Networks for Clustering
most recent commit 6 years ago
Zeroe ⭐ 9
From Hero to Zéroe: A Benchmark of Low-Level Adversarial Attacks
most recent commit a year ago
Easygan ⭐ 9
DCGAN for everyone
most recent commit 2 years ago
In Depth Ml ⭐ 9
In depth machine learning resources
most recent commit 5 years ago
Targeted Adversarial Perturbations Monocular Depth ⭐ 9
PyTorch implementation of Targeted Adversarial Perturbations for Monocular Depth Predictions (in NeurIPS 2020)
most recent commit a year ago
Adversarial Gene Expression ⭐ 8
Adversarial generation of gene expression data using Generative Adversarial Networks
most recent commit 2 years ago
Ml_gans ⭐ 8
Replicated Results of Generative Adversarial Networks Papers
most recent commit 6 years ago
Meta Adversarial Training ⭐ 8
Tensorflow implementation of Meta Adversarial Training for Adversarial Patch Attacks on Tiny ImageNet.
most recent commit 3 years ago
Iclr 2020 ⭐ 8
Selections from ICLR 2020
most recent commit 2 years ago
Model Zoo ⭐ 8
Examples of Generative Adversarial Networks built using torchgan
most recent commit 5 years ago
Linear Region Attack ⭐ 8
A powerful white-box adversarial attack that exploits knowledge about the geometry of neural networks to find minimal adversarial perturbations without doing gradient descent
most recent commit 4 years ago
Papernotes ⭐ 8
📝 Papers I read and notes/reviews I made. Also useful links to courses (RL/NLP/Bio/QC/DevOps)
most recent commit 3 years ago
Shadow ⭐ 8
Shadow semi-supervised consistency regularization PyTorch library
total releases 2most recent commit 3 years ago
Activation Attack Pytorch ⭐ 8
CVPR 2019 Paper——Feature Space Perturbations Yield More Transferable Adversarial Examples re-implementation.
most recent commit 2 years ago
Pytorch Gnn Meta Attack ⭐ 8
Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.
most recent commit 3 years ago
Stochastic_seismic_waveform_inversion ⭐ 8
Official Implementation of "Stochastic seismic waveform inversion using generative adversarial networks as a geological prior"
most recent commit 4 years ago
Synthetic Data For Finance ⭐ 8
Material for QuantUniversity talk on Sythetic Data Generation for Finance.
most recent commit 3 years ago
Osraae ⭐ 8
Open-set Recognition with Adversarial Autoencoders
most recent commit 5 years ago
Esrgan ⭐ 7
Image Super Resolution using Generative Adversarial Networks
most recent commit 5 years ago
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