hiroyuki-kasai

pytorch_geometric

Graph Neural Network Library for PyTorch

awesome-network-embedding

A curated list of network embedding techniques.

geomstats

Computations and statistics on manifolds with geometric structures.

tensorly-notebooks

Tensor methods in Python with TensorLy

mctorch

A manifold optimization library for deep learning

infiniteboost

InfiniteBoost: building infinite ensembles with gradient descent

HybridPrecodingOpt

Optimization algorithms for hybrid precoding in mmWave MIMO systems: Version 1.1.0

Tensor-tensor-product-toolbox

tensor-tensor product toolbox

RSOpt

Riemannian stochastic optimization algorithms: Version 1.0.3

LAHMC

Look Ahead Hamiltonian Monte Carlo

LowRankTRN

Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"

unsupervised-image-segmentation-persistent-homology

Unsupervised image segmentation by applying topological data analysis techniques.

Deep-Subspace-Clustering

Subspace clustering through the deep learning approach

nmf

Primal-dual Algorithms for Non-negative Matrix Factorization with the Kullback-Leibler Divergence

Low-Rank-Tensor-Completion

A Dual Framework for Low-rank Tensor Completion

SimpleDeepNetToolbox

Simple MATLAB toolbox for deep learning network: Version 1.0.3

D2AGE

The source codes for D2AGE model. Distance-aware DAG Embedding for Proximity Search on Heterogeneous Graphs.

SSPW-kmeans

Sparse simplex projection-based Wasserstein k-means

LIBS2ML

LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms

Robust-Streaming-Tensor-Factorization

WWLS

CI-GMVC

Consistency-aware and inconsistency-aware graph-based multi-view clustering

SIITA

Side Information infused Incremental Tensor Analysis

Subsampled-RTR

Subsampled Riemannian trust-region (RTR) algorithms

MOT

Manifold optimization based Optimal Transport

StochasticMCMC

MCMC for posterior distribution sampling

Riemannian-preconditioning-for-tensor-regression-and-completion

LCSGK

learn_to_transport_code

WIP

sghmc-matlab

Matlab Implementation for Stochastic Gradient Hamiltonian Monte Carlo