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adversarial

Pytorch - Adversarial Training

adversarial-defense-by-suppressing-high-frequencies

An efficient adversarial defense method with strong insights which won the fifth place of the IJCAI-2019 Alibaba Adversarial AI Challenge.

adversarial-logit-pairing-analysis

Analysis of Adversarial Logit Pairing

adversarial-machine-learning-at-scale

implementation

adversarial-robustness-toolbox

Python library for adversarial machine learning, attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support

adversarial-vertex-mixup-pytorch

attack-and-defense-methods

A curated list of papers of adversarial examples and defense methods.

awesome-adversarial-machine-learning

A curated list of awesome adversarial machine learning resources

bayesian-machine-learning

Notebooks related to Bayesian methods for machine learning

bayesian_neural_network_papers

Papers for Bayesian-NN

cifar10_challenge

A challenge to explore adversarial robustness of neural networks on CIFAR10.

cnn-lstm-bilstm-deepcnn-clstm-in-pytorch

In pytorch Learing Neural Networks likes CNN、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM

conve

Convolutional 2D Knowledge Graph Embeddings resources

cs231n-project

deep-kernel-gp

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

dskg

epm

Infinite Edge Partition Models

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fml

Fenchel Mini-Max Learning

freeadversarialtraining

PyTorch Implementation of Adversarial Training for Free!

freelb

Adversarial Training for Natural Language Understanding

hfc

Implementation for the paper (CVPR Oral): High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks

human-pose-estimation.pytorch

とりあえず

imagenet

This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

imagenet-adversarial-training

ImageNet classifier with state-of-the-art adversarial robustness

kb2e

Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE

lironghuo.github.io

ltc-msda

Implementation of Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation (ECCV 2020).

mine-mutual-information-neural-estimation-

A pytorch implementation of MINE(Mutual Information Neural Estimation)

mnist_center_loss_pytorch

A PyTorch implementation of center loss on MNIST