yanghaozyh Goto Github PK

blog_comment

repo for saving blog comment

deepconcolic

Concolic Testing for Deep Neural Networks

fake_chinesecharacter

Systhesize some fake Chinese characters .

fast_adversarial

[ICLR 2020] A repository for extremely fast adversarial training using FGSM

gaan

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

generative_adversarial_perturbations

Generative Adversarial Perturbations (CVPR 2018)

gnnpapers

Must-read papers on graph neural networks (GNN)

guap

Code for paper 'Generalizing Universal Adversarial Attacks Beyond Additive Perturbations' (ICDM2020)

guap-demo

health

healthsystem

healthsystem

hnm-pgd

Code for paper 'Fooling Object Detectors: Adversarial Attacks by Half-Neighbor Masks'

image-generation-using-gans-using-pytorch-and-cifar-10

image_classification_with_5_methods

Compared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow

java-web

高级网页设计（Java Web）实验库

l0-tre

Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for L0 Norm

learning-notes

literature-on-dnn-verification-and-testing

lq-nets

LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks

machine-learning

mlpractical

Machine Learning Practical course repository

pbnn

reproduce paper of pbnn

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

relationprediction

ACL 2019: Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

relu-opt-public

Code for optimizing MILP problems with embedded ReLU networks

research

My research and papers.

tensorflow

An Open Source Machine Learning Framework for Everyone

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

uan

Universal Adversarial Networks