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jdml

An interface of mllib and ml algorithms implemented by jddata with spark

jnmf

Matlab implementation of Joint Non-negative Matrix Factorization

jointmatrixfactorization

kaggle_class_1

七月算法 - Kaggle课程 - Kaggle实战班 课件

kdem

This repository includes data and code for the algorithm of Kernel Density Estimation from Multiple Sources (KDEm) proposed in a KDD'16 paper

kidsearch

A search engine completed by Qingsong Lv, Shulin Cao and Yifan Wang. Tutors: Qian Yin and Xin Zheng.

learn_dp

Differential Privacy

learning-based-query-optimization

Join Optimization With Machine Learning

learningml

机器学习实战代码

learnpython

以撸代码的形式学习Python

lenticrypt

A simple cryptosystem that provides provable plausibly deniable encryption.

lifelines

Survival analysis in Python

lihang-code

《统计学习方法》的代码实现

lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

logistic_control_variate

Stochastic gradient Langevin dynamics with control variates for logistic regression

logistic_regression

lsh-rc

Scalable Local-Recoding Anonymization using Locality Sensitive Hashing for Big Data Privacy Preservation

machine-learning-algorithms-in-action

用python实现监督学习和非监督学习算法

machine-learning-diff-private-federated-learning

Simulate a federated setting and run differentially private federated learning.

machine-learning-privacy

machinelearning

机器学习

machinelearning-1

machinelearning-2

一些关于机器学习的学习资料与研究介绍

machinelearning-3

My blogs and code for machine learning. http://cnblogs.com/pinard

machinelearning_python

机器学习算法python实现

master-thesis

Main hub for code-snippets during my master thesis

matlab2python

This is a growing tutorial demonstrates some MATLAB examples and their equivalent code in Python

matrix-factorization-social-recommendation

Probabilistic Matrix Factorization with Social Trust for Recommendation (Ma et al. SIGIR 2009)

membership-inference

Code for Membership Inference Attack against Machine Learning Models (in S&P 2017)

miamimarathonwinner

Predicting Miami 2017 Marathon winner with Logistic Regression, Naive Bayes and Linear Regression