hehondou Goto Github PK

awesome-ml-for-cybersecurity

:octocat: Machine Learning for Cyber Security

btrace

BTrace - a safe, dynamic tracing tool for the Java platform

btrace_extend

btrace 拓展，可以方便的诊断java应用程序的性能问题

buglocalization-dataset

code.makery.ch

Learning how to code. Tutorials and Blog about programming.

crcnn

Classifying Relations by Ranking with Convolutional Neural Networks

cs-ranking

Context-sensitive ranking and choice in Python with Tensorflow

deep-listwise-context-model-for-ranking-refinement

A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

defects4j

A Database of Real Faults and an Experimental Infrastructure to Enable Controlled Experiments in Software Engineering Research

defects4j-dissection

Defects4J Dissection presents data to help researchers and practitioners to better understand the Defects4J bug dataset

defects4j-repair

Open-science repo for our experimental results of automatic software repair on the Defects4J benchmark of Java bugs

graph2gauss

Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".

hehondou.github.io

个人博客

infiniteboost

InfiniteBoost: building infinite ensembles with gradient descent

java-callgraph

Programs for producing static and dynamic (runtime) call graphs for Java programs

learning-rank-public

Learning Rank

msr2019

Dataset and sample code for the paper "A Manually-Curated Dataset of Fixes to Vulnerabilities of Open-Source Software"

neural_bayesian_personalized_ranking

Representation Learning and Pairwise Ranking for Implicit Feedback in Top-N Item Recommendation

openrasp

Open source RASP solution

paircnn-ranking

A tensorflow implementation of Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks

pm25_prediction

pm2.5 prediction code using LSTM and CNN hybrid model

pm25predict

predictive model for air quality monitoring

pointwise_ranking

predictnetworkattacks

In total, there are 40 type of attacks to which their network is vulnerable to. But, 3 of them cause the maximum damage. In this challenge, we are given an anonymised sample dataset of server connections. We have to predict the type of attack(s).

ranking

Learning to Rank in TensorFlow

survey-dateset

A Study on the Use of Vulnerability Databases in Software Engineering - dataset

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-ltr

Tensorflow implementations of various Learning to Rank (LTR) algorithms.

the-art-of-programming-by-july

书名暂定《编程之法：面试和算法心得》，初稿于14年6月转移到Word上修改，纸质版15年上市