cfgooo's Stars
Shengfeng233/PINN-for-NS-equation
A pytorch implementaion of physics informed neural networks for two dimensional NS equation
jayroxis/PINNs
PyTorch Implementation of Physics-informed Neural Networks
rezaakb/pinns-torch
PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
Hannah-Zhou/Mathematics-Experiment
采用PINN/ResPINN对两种偏微分方程(Burgers&Allen-Cahn)的训练与求解
xkLi-Allen/Awesome-GNN-Research
My future research
huweibo/Awesome-Federated-Learning-on-Graph-and-GNN-papers
Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.
billryan/resume
An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git
youngyangyang04/leetcode-master
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
zkhku/fedsage
Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
pgmpy/pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
ipid/cookdata
通过机器学习算法进行银行客户风险评估
liuhuanyong/ChainKnowledgeGraph
ChainKnowledgeGraph, 产业链知识图谱包括A股上市公司、行业和产品共3类实体,包括上市公司所属行业关系、行业上级关系、产品上游原材料关系、产品下游产品关系、公司主营产品、产品小类共6大类。 上市公司4,654家,行业511个,产品95,559条、上游材料56,824条,上级行业480条,下游产品390条,产品小类52,937条,所属行业3,946条。
kubeedge/sedna
AI tookit over KubeEdge
able8/Deploy-Deep-Learning-Model-On-Kubernetes
Deploy Your First Deep Learning Model On Kubernetes With Python, Keras, Flask, and Docker 使用 Kubernetes 轻松部署深度学习模型
yhbelieve/achievement
实验室成果管理系统
yjzfun/ilab
基于SSM的实验室管理系统
SidKwok/lab-manager
高校实验室信息管理系统
youngfish42/Awesome-FL
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
Harshik97/Efficient-Client-Selection-in-Federated-Learning.
ki-ljl/FedProx-PyTorch
PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).
ki-ljl/Scaffold-Federated-Learning
PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).
SMILELab-FL/FedLab
A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.
IBM/FedMA
Code for Federated Learning with Matched Averaging, ICLR 2020.
litian96/FedProx
Federated Optimization in Heterogeneous Networks (MLSys '20)
lokinko/Federated-Learning
联邦学习
hliangzhao/Edge-Computing-Codes
Algorithm implementation for my Edge Computing-related papers.
WHDY/FedAvg
Implement FedAvg algorithm based on Tensorflow
iceboundx/flake
Federated learning platform for edge computing, based on KubeEdge
learnk8s/distributed-tensorflow-on-k8s