Pinned Repositories
Awesome-Differential-Privacy
Differential privacy theory and code, differential private machine learning
Awesome-Differential-Privacy-and-Meachine-Learning
机器学习和差分隐私的论文笔记和代码仓
backdoor_federated_learning
Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)
backdoors101
Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.
ben-decentralized-chatbot
YC Hackathon 2018 Winner Project. BEN: A decentralized chatbot that uses federated learning.
benedekrozemberczki-awesome-graph-classification
BigMartPredModel
The data scientists at BigMart have collected 2013 sales data for 1559 products across 10 stores in different cities. The aim is to build a predictive model and find out the sales of each product at a particular store.Using this predictive model the data scientists at BigMart can understand the properties of products and stores which play a key role in increasing sales. The tasks done for this project are : *Data Exploration *Data QAQC *Outlier detection and missing data replacement strategy *Data ETL *Understanding about sales domain *Feature Engineering *Advanced Data Analysis *Regression modeling Techniques *Hybrid modeling Techniques *Specific measure to Evaluate Model The datasets were acquired from : https://s3.amazonaws.com/hackerday.datascience/49/Test_u94Q5KV.csv https://s3.amazonaws.com/hackerday.datascience/49/Train_UWu5bXk.csv https://s3.amazonaws.com/hackerday.datascience/49/SampleSubmission_TmnO39y.csv Software Requirements : Continuum Analytics, Inc software Python 2.7 version with seaborn package was used.
BIHAD
blog
Some notes on things I find interesting and important.
Cluster-GCN
基于pymetis的Cluster-GCN,参考自https://github.com/benedekrozemberczki/ClusterGCN,略作修改
peixj's Repositories
peixj/graph-representation-learning
Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)
peixj/GraphEmbedding
Implementation and experiments of graph embedding algorithms.deep walk,LINE(Large-scale Information Network Embedding),node2vec,SDNE(Structural Deep Network Embedding),struc2vec
peixj/SPRINT_gan
Privacy-preserving generative deep neural networks support clinical data sharing
peixj/TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
peixj/BigMartPredModel
The data scientists at BigMart have collected 2013 sales data for 1559 products across 10 stores in different cities. The aim is to build a predictive model and find out the sales of each product at a particular store.Using this predictive model the data scientists at BigMart can understand the properties of products and stores which play a key role in increasing sales. The tasks done for this project are : *Data Exploration *Data QAQC *Outlier detection and missing data replacement strategy *Data ETL *Understanding about sales domain *Feature Engineering *Advanced Data Analysis *Regression modeling Techniques *Hybrid modeling Techniques *Specific measure to Evaluate Model The datasets were acquired from : https://s3.amazonaws.com/hackerday.datascience/49/Test_u94Q5KV.csv https://s3.amazonaws.com/hackerday.datascience/49/Train_UWu5bXk.csv https://s3.amazonaws.com/hackerday.datascience/49/SampleSubmission_TmnO39y.csv Software Requirements : Continuum Analytics, Inc software Python 2.7 version with seaborn package was used.