hxsylzpf,CMU学Drama,github

differential-privacy-2

Naive implementation of basic Differential-Privacy framework and algorithms

differential_privacy

This is my research project about differential privacy at Purdue University.

diffgen

Differentially private data release for data mining [SIGKDD 2011] - convert a relational data set into a differentially-private version while maintaining its capability for data mining

diffmulti

Differentially private multidimensional data publishing

Publishing Set-Valued Data via Differential Privacy [PVLDB 2011] - convert a transaction data set into a differentially-private version while maintaining its capability for handling count queries and data mining tasks

distribution-is-all-you-need

The basic distribution probability Tutorial for Deep Learning Researchers

dl_class_2017_may

七月算法深度学习五月班课件

dlcv_for_beginners

《深度学习与计算机视觉》配套代码

dm-ml

Implements of some data mining and machine learning algorithms

dp-agd

Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget

dp-damtl

source code of paper kdd2017-"Privacy-Preserving Distributed Multi-Task Learning with Asynchronous Updates"

dp-sparse-mcs

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

dp_penalized_logistic_regression

Differentially private penalized logistic regression.

dpel

This repository contains codes related paper called "Collaborative ensemble learning under differential privacy"

dualquery

DualQuery: Practical Private Query Release Algorithm

elastic-sensitivity-experiments

Elastic sensitivity experiments using TCP-H benchmark

emnlp2017-bilstm-cnn-crf

BiLSTM-CNN-CRF architecture for sequence tagging

evaluatingdpml

This project's goal is to evaluate the privacy leakage of differentially private machine learning models.

experimental-mf

cache-friendly multithread matrix factorization

fcis

Visual redaction methods for FCIS(https://github.com/msracver/FCIS)

feature-selection

Features selection algorithm based on self selected algorithm, loss function and validation method

fim_local_differential_privacy

frequent itemset mining with differential privacy in local setting

fml_nets

Federated Machine Learning Using MLP

fred

FRED simulator and associated paper

frequentitemsetalgos

PCY, Toivenon’s and Multi-hash algorithms- To determine the frequent items that occur together in a basket and understand the purchase behavior of buyers

frequentpattents_caraccident_python

從台北2015年車禍數據中，尋找frequent patterns，從而發現車禍多發的關聯因素，以制定相應措施，減少車禍發生的概率

fuzzylogicrecommendersystem

Complete Java Approach

galatea

Ian Goodfellow's private research codebase

ganhacks

starter from "How to Train a GAN?" at NIPS2016

gasr-scala

The scala version for Gibbs Bayesian matrix completion

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