dangWV

PySyft

Perform data science on data that remains in someone else's server

CppGuide

C/C++学习，后端开发进阶指南。

FedML

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.

DeepLearning

GraphNeuralNetwork

《深入浅出图神经网络：GNN原理解析》配套代码

Awesome-FL

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

FederatedScope

An easy-to-use federated learning platform

graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

GNNs-Recipe

🟠 A study guide to learn about Graph Neural Networks (GNNs)

TeamTalk

这是我维护的蘑菇街TeamTalk源码版本。

graphSAGE-pytorch

A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.

FedGen

Code and data accompanying the FedGen paper

FedGraphNN

FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops.

federated-learning-public-code

GCN-GAT-and-Graphsage

The code for GCN, GAT and Graphsage based on pytorch.

federated-pytorch-test

Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth

GCFL

This repository is the implementation of Federated Graph Classification over Non-IID Graphs.

communication-in-cross-silo-fl

Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)

GraphSAGE

PyTorch implementation of GraphSAGE.

GraphSAGE-Cora-Citeseer-Pubmed

这是GraphSAGE模型在Cora、Citeseer、Pubmed数据集上的复现代码。语言：PyTorch

net_for_Cryptocurrency

采用神经网络来预测加密货币涨跌，同时采用贝叶斯优化方法调整超参数

federated-gcn

This repository contains python scripts related to a research that is intended to run graph convolution neural networks in federated manner on distributed graph databases

FedGS

FedGS: Federated Graph-based Sampling with Arbitrary Client Availability, arxiv.org/abs/2211.13975) was accepted by AAAI 2023 Conference.

fl-pytorch

Federated Learning based on pytorch

Pytorch_FL_CNN

An easy implementation of a federated learning scenario on CNN

Pytorch_FL_GAN

Easy implementation of federated learning scenario on GAN tasks.

auto_modeling_result_visualizable

自动模型构筑自动超参数优化，可视化精度比较程序

GraphSAGE

GraphSAGE of Pytorch version.

GraphSAGE

pytorch

GraphSAGE_pytorch

graphSAGE with pytorch