haiqw Goto Github PK

adversarial-robustness-toolbox

Python library for adversarial machine learning, attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support

awesome-public-datasets

An awesome list of (large-scale) public datasets on the Internet. (On-going collection)

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

cs_thesis_zju

XeTeX template for ZJU Computer Science undergraduate thesis

csbd

The repository contains the python implementation of the Android Malware Detection paper: "Empirical assessment of machine learning-based malware detectors for Android: Measuring the Gap between In-the-Lab and In-the-Wild Validation Scenarios"

data

Public course data set collected from MOOC

datamining

datarepository

store some online data set which could be used in my algorithm (UCI and some financial data...)

election_day_2016_twitter

Tweets from election day 2016

fastsocket

Fastsocket is a highly scalable socket and its underlying networking implementation of Linux kernel. With the straight linear scalability, Fastsocket can provide extremely good performance in multicore machines. In addition, it is very easy to use and maintain. As a result, it has been deployed in the production environment of SINA.

federated

A framework for implementing federated learning

gift_for_girl

GFG(gift for girl)

handong1587.github.io

kdtree

a c++ implementation of kdtree

keras-vggface

VGGFace implementation with Keras Framework

latex-template

Some latex templates for writing.

leaf

Leaf: A Benchmark for Federated Settings

nlp

optimal

Implement some optimal algorithm， for example Newton method, Gradient descent

python

some example python code

random-forest

Randomized Decision Trees: A Fast C++ Implementation of Random Forests.

rcd-forest

rcd-forest-reconstruct

readme

蘑菇街开源的一款企业办公即时通信软件

relation_extraction

AAAI2015 Learning Entity and Relation Embeddings for Knowledge Graph Completion

review

reviews of the papers

rtl8821cu

scikit-learn

scikit-learn: machine learning in Python

sgxfail

SGX从入门到放弃

targeted-universal-adversarial-perturbation

Extended Universal Adversarial Perturbation to targeted attack.