charleshuangruo

tensorrec

A TensorFlow recommendation algorithm and framework in Python.

apf

Android Plugin Framework

Botnet-Detection-using-Machine-Learning

Repository of Bachelor's Major Project on Botnet Detection

botnetDetection

Exploring Botnet Detection with Machine Learning

ConvMF

Code for our paper Convolutaional Matrix Factorization for Document Context-Aware Recommendation (RecSys 2016)

Deep-Reinforcement-Learning-Recommendation-System

Deep-Reinforcement-Learning-Recommendation-System

Detecting-Malicious-URLs-Using-Machine-Learning

dns_tunnel_dectect_with_CNN

dns tunnel dectect with CNN

eXposeDeepNeuralNetwork

eXpose deep neural network, detects malicious URLs, file paths and registry keys with proper training

GRU4Rec

GRU4Rec is the cleaned & simplified implementation of the algorithm of the "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016. The code is stripped of features that we had found to be unhelpful in increasing accuracy.

hgru4rec

Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"

keras-malicious-url-detector

Malicious URL detector using keras recurrent networks and scikit-learn classifiers

Machine-Learning-Based-Botnet-Detection

Machine Learning Based Botnet Detection is a tool to classify network traffic as being botnet affected or not based on the network traffic flows. It involves various classifiers including Neural Networks, Decision Tree, SVM, Naive Bayes, Logistic Regression, k-Nearest Neighbours.

malicious_web_page_detection_based_on_url

基于url特征的轻量级的恶意页面检测

master_thesis

Code and other stuff for my master thesis

maven_mahout_template

PGL

Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

Recommendation-System

Reinforcement Learning BPMF Highway_network

RL-movie-recommender

The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed bandit.

sensitive_words_blocking

使用python实现，基于DFA算法的敏感词屏蔽

sessionRec_NARM

ucl-drl-msc

Learning to Recommend using a Deep Reinforcement Agent