Pinned Repositories
BIHAD
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.
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/Awesome-Differential-Privacy-and-Meachine-Learning
机器学习和差分隐私的论文笔记和代码仓
peixj/Federated-Learning-1
联邦学习
peixj/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
peixj/PGL
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
peixj/EvaluatingDPML
This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
peixj/blog
Some notes on things I find interesting and important.
peixj/backdoors101
Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.
peixj/privacy
Library for training machine learning models with privacy for training data
peixj/differential-privacy-vs-fairness
Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19
peixj/Cluster-GCN
基于pymetis的Cluster-GCN，参考自https://github.com/benedekrozemberczki/ClusterGCN，略作修改
peixj/Awesome-Differential-Privacy
Differential privacy theory and code, differential private machine learning
peixj/GNN4NLP-Papers
A list of recent papers about Graph Neural Network methods applied in NLP areas.
peixj/conv-emotion
This repo contains implementation of different architectures for emotion recognition in conversations.
peixj/netgan
Implementation of the paper "NetGAN: Generating Graphs via Random Walks".
peixj/gnn-meta-attack
Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".
peixj/federated-learning
A Keras implementation of FederatedAvergaing [McMahan, Brendan, et al. 2017] and Lazily Aggregated Stochastic Gradients [Chen, Tianyi, Yuejiao Sun, and Wotao Yin. 2020]
peixj/backdoor_federated_learning
Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)
peixj/nlp_paper_study
研读顶会论文，复现论文相关代码
peixj/GRAND
Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
peixj/GXN
Graph Cross Network
peixj/Federated-Learning-PyTorch
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
peixj/PrivateDeepLearning
Differential Privacy Preservation in Deep Learning under Model Attacks
peixj/StoBatch
Scalable Differential Privacy with Certified Robustness in Adversarial Learning (ICML'2020)
peixj/DataPoisoning_FL
Code for Data Poisoning Attacks Against Federated Learning Systems
peixj/ben-decentralized-chatbot
YC Hackathon 2018 Winner Project. BEN: A decentralized chatbot that uses federated learning.
peixj/dimensionality_reduction_alo_codes
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
peixj/nettack
Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".
peixj/benedekrozemberczki-awesome-graph-classification
peixj/planetoid
Semi-supervised learning with graph embeddings
peixj/BIHAD