huyoboy's repositories
binwalk
Firmware Analysis Tool
cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
ctf-wiki
A new start for CTF Wiki! Come and join us, we need you!
deeplearning-models
A collection of various deep learning architectures, models, and tips
DeepRobust
A pytorch adversarial library for attack and defense methods on images and graphs
deepWordBug
Paper: "Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers", / Interactive Demo @
fast_text_gcn
FastGCN for inductive text classification
fucking-algorithm
手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.
gcn
Implementation of Graph Convolutional Networks in TensorFlow
GCN_ADV_Train
Adversarial training for Graph Neural Networks
GFAttack
A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models
GloVe
GloVe model for distributed word representation
GraphNeuralNetwork
《深入浅出图神经网络：GNN原理解析》配套代码
leetcode
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
LeetCodeAnimation
Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）
LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
models
Pre-trained and Reproduced Deep Learning Models （经典复现模型）
models-1
Models and examples built with TensorFlow
nettack
Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".
nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
nlp_adversarial_examples
Implementation code for the paper "Generating Natural Language Adversarial Examples"
nndl.github.io
《神经网络与深度学习》 Neural Network and Deep Learning
node_embedding_attack
Adversarial Attacks on Node Embeddings via Graph Poisoning
one-pixel-attack-keras
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
TAADpapers
Must-read Papers on Textual Adversarial Attack and Defense
text_gcn
Graph Convolutional Networks for Text Classification. AAAI 2019
torchtext-summary
torchtext使用总结，从零开始逐步实现了torchtext文本预处理过程，包括截断补长，词表构建，使用预训练词向量，构建可用于PyTorch的可迭代数据等步骤。并结合Pytorch实现LSTM.