PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

MLCube™ is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.

MLCube™ examples

Factorization machines in python

Diffprivlib: The IBM Differential Privacy Library

Python code for common Machine Learning Algorithms

本科毕设时的代码，用于k匿名栅格化位置隐私保护“群智背景下”

PPCF: Privacy-Preserving Collaborative Filtering for Web Service Recommendation

frequent itemset mining with differential privacy in local setting

Import and analyze Chicago public taxi data

code for 'Differential Location Privacy for Sparse Mobile Crowdsensing' at ICDM'16