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camflow-install

Build script for CamFlow Linux Provenance.

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

deep-learning-from-scratch

Source code and pdf from the book 《深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)。

depix

Recovers passwords from pixelized screenshots

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dnn-binary-code-similarity

ecg_pytorch

ecg classfication

exploit-virtual-machine

faiss

A library for efficient similarity search and clustering of dense vectors.

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gmatch4py

A graph matching library for Python

graph-matching-toolkit

graph-rcnn.pytorch

Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation" and other papers

graphstone

An implementation of "Graph Structural-topic Neural Network"

graphviz_x64

patches for graphviz

graphwaveletneuralnetwork

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

han

Heterogeneous Graph Neural Network

hine

Heterogeneous Information Network Embedding

ijcai2019_hgat

Semi-supervised User Profiling with Heterogeneous Graph Attention Networks, IJCAI 2019.

javaguide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

kaggle_microsoft_malware

code for kaggle competition Microsoft malware classification

kellect

windows kernel event log collect

malware-detection

Malware Detection and Classification Using Machine Learning

malware-gan

Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017

metagraph2vec

Code for PAKDD-2018 paper "MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding"

pygat

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

pytorch-course

JULYEDU PyTorch Course

pytorch-learningnotes

网易云课堂——讲师：龙良曲

rnn-time-series-anomaly-detection

RNN based Time-series Anomaly detector model implemented in Pytorch.