dangWV

dangWV's Stars

• OpenMined/PySyft

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

  Language:Python9.6k1983.4k2k

• balloonwj/CppGuide

  C/C++学习，后端开发进阶指南。

  5.1k6546894

• FedML-AI/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.

  Language:Python4.2k117327788

• wangshusen/DeepLearning

  Language:TeX3.8k6618838

• FighterLYL/GraphNeuralNetwork

  《深入浅出图神经网络：GNN原理解析》配套代码

  Language:Jupyter Notebook1.8k2757463

• youngfish42/Awesome-FL

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

  Language:Python1.6k406192

• alibaba/FederatedScope

  An easy-to-use federated learning platform

  Language:Python1.3k15211218

• dsgiitr/graph_nets

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

  Language:Jupyter Notebook1.2k394226

• dair-ai/GNNs-Recipe

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

  1.1k190117

• balloonwj/TeamTalk

  这是我维护的蘑菇街TeamTalk源码版本。

  Language:C++8253711515

• twjiang/graphSAGE-pytorch

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

  Language:Python6311022151

• zhuangdizhu/FedGen

  Code and data accompanying the FedGen paper

  Language:Python24522669

• FedML-AI/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.

  180101442

• epfml/federated-learning-public-code

  Language:Python15791347

• MrLeeeee/GCN-GAT-and-Graphsage

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

  Language:Python59337

• SarodYatawatta/federated-pytorch-test

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

  Language:Python41217

• Oxfordblue7/GCFL

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

  Language:Python402411

• omarfoq/communication-in-cross-silo-fl

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

  Language:Python30027

• raunakkmr/GraphSAGE

  PyTorch implementation of GraphSAGE.

  Language:Python27026

• ytchx1999/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

  Language:Python25117

• yhaofeng/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

  Language:Jupyter Notebook21106

• IsuruMaduranga/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

  Language:Python17211

• WwZzz/FedGS

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

  Language:Python16104

• Ls-Dai/Pytorch_FL_GAN

  Easy implementation of federated learning scenario on GAN tasks.

  Language:Python5110

• ddayzzz/fl-pytorch

  Federated Learning based on pytorch

  Language:Python4202

• Ls-Dai/Pytorch_FL_CNN

  An easy implementation of a federated learning scenario on CNN

  Language:Python4101

• qiulongquan/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

  Language:Jupyter Notebook4200

• WHDY/GraphSAGE

  GraphSAGE of Pytorch version.

  Language:Python3100

• huiwudiyi/GraphSAGE

  pytorch

  Language:Python2200

• yy2lyx/GraphSAGE_pytorch

  graphSAGE with pytorch

  Language:Python1100