pursueorigin

Byrd-SAGA

code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"

GRAN

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

TrainableRepresentationAnalysis

Trainable representation analysis study repository

DPFact

CommEfficient

PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms

pytorch_ehr

source codes based on PyTorch to analyze EHR

OptML_course

EPFL Course - Optimization for Machine Learning - CS-439

awesome-federated-computing

:books: :eyeglasses: A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.

open_lth

A repository in preparation for open-sourcing lottery ticket hypothesis code.

PyTorch_OLoptim

A PyTorch implementation of various Online & Stochastic optimization algorithms for deep learning

EdMot

An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

awesome-federated-learning

resources about federated learning and privacy in machine learning

gnn-comparison

Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020

Overlap_Local_SGD

Implementation of (overlap) local SGD (ICASSP'20)

GraphMemoryNet

Memory-Based Graph Networks

attackbox

ORGFW

Code for paper "Efficient Projection-Free Online Methods with Stochastic Recursive Gradient"

Optimizer-PyTorch

Package of Optimizer implemented with PyTorch .

geom-gcn

Geom-GCN: Geometric Graph Convolutional Networks

pytorch-fm

Factorization Machine models in PyTorch

pytorch_privacy

tensorflow_privacy in pytorch

awesome-ehr-deeplearning

Curated list of awesome papers for electronic health records(EHR) mining, machine learning, and deep learning.

fedavgpy

On the Convergence of FedAvg on Non-IID Data

OptML-SVRG-PyTorch

Implementation of SVRG for training neural networks

MaSS

Momentum-added Stochastic Solver (MaSS): implemented in Tensorflow(Keras)

SHCGM

MATLAB implementation of the Stochastic Homotopy Conditional Gradient Method

decg

Centralized/Decentralized Conditional Gradient methods for submodular maximization.

ADaptive-Structural-Fingerprint

ChocoSGD

Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356