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Wizard's Projects

cd-attack icon cd-attack

The Implemention of "Adversarial Attack on Community Detection by Hiding Individuals"

chatgpt_academic icon chatgpt_academic

科研工作专用ChatGPT拓展,特别优化学术Paper润色体验,支持自定义快捷按钮,支持markdown表格显示,Tex公式双显示,代码显示功能完善,新增本地Python工程剖析功能/自我剖析功能

competition icon competition

it contains skill-evaluation (PhD entrance) questions and also links t our own machine learning competition website

copulas icon copulas

A library to model multivariate data using copulas.

cryptodl icon cryptodl

Privacy-preserving Deep Learning based on homomorphic encryption (HE)

dcrnn icon dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

deepinfomaxpytorch icon deepinfomaxpytorch

Learning deep representations by mutual information estimation and maximization

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

deeprobust icon deeprobust

A pytorch adversarial library for attack and defense methods on images and graphs

dgcn icon dgcn

The pytorch code of DGCN(TITS)

dgl icon dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dim icon dim

Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"

drn icon drn

Dilated Residual Networks

fate icon fate

An Industrial Level Federated Learning Framework

feddy icon feddy

Federated Dynamic GNN with Secure Aggregation

fedgraphnn icon fedgraphnn

A Research-oriented Federated Learning Library and Benchmark Platform for Graph Neural Networks. Accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops.

fedlearner icon fedlearner

A multi-party collaborative machine learning framework

fedsage icon fedsage

Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)

gib icon gib

Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs

gman-pytorch icon gman-pytorch

Implementation of Graph Muti-Attention Network with PyTorch

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