scheinerman / matgraph

Related projects ⓘ

Alternatives and complementary repositories for matgraph

• ryotat / tensor
  matlab code for convex optimization based tensor decomposition (completion/denoising)
  ☆42Updated 9 years ago
• bodono / apg
  A lightweight accelerated proximal-gradient package for matlab
  ☆32Updated 8 years ago
• gnaixgnaw / CSP
  Spectral Clustering for Complex Graphs
  ☆39Updated 10 years ago
• quanmingyao / FaNCL
  Fast Low-Rank Matrix Learning with Nonconvex Regularization. Matlab Code
  ☆23Updated 5 years ago
• rflamary / nonconvex-optimization
  Matlab/Octave toolbox for nonconvex optimization
  ☆49Updated 8 years ago
• qiangsiwei / tensor_tools
  张量分解算法整理
  ☆60Updated 8 years ago
• kbatseli / TTr1SVD
  Tensor Train Rank-1 decomposition
  ☆19Updated 5 years ago
• Haoran-S / SNMF
  Inexact Block Coordinate Descent Methods For Symmetric Nonnegative Matrix Factorization
  ☆12Updated 7 years ago
• ehosseiniasl / Nonnegativity-Constrained-Autoencoder-NCAE
  Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.
  ☆13Updated 9 years ago
• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆64Updated last year
• ryotat / dal
  Dual Augmented Lagrangian (DAL) algorithm for sparse/low-rank reconstruction and learning
  ☆33Updated 9 years ago
• andrewssobral / imtsl
  IMTSL - Incremental and Multi-feature Tensor Subspace Learning
  ☆34Updated 3 years ago
• andrewssobral / TDALAB
  A MATLAB Toolbox for High-order Tensor Data Decompositions and Analysis
  ☆20Updated 6 years ago
• STAC-USC / Graph_Learning
  Graph Learning from Data
  ☆34Updated 5 years ago
• peiyunh / mat-vae
  A MATLAB implementation of Auto-Encoding Variational Bayes
  ☆44Updated 7 years ago
• erichson / rTensor
  Randomized Tensor Decompositions
  ☆30Updated 8 years ago
• krzakala / LowRAMP
  Matlab code for Low rank Matrix Factorization with AMP
  ☆14Updated 9 years ago
• andrewssobral / mtt
  MATLAB Tensor Tools
  ☆85Updated 3 years ago
• hiroyuki-kasai / OLSTEC
  OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1
  ☆34Updated last year
• oeufracio / NMF_ADMM_LR
  NonNegative Matrix Factorization with Low Rank via the Alternating Direction Method of Multipliers
  ☆9Updated 7 years ago
• kimjingu / nonnegfac-matlab
  Matlab implementations of fast algorithms for nonnegative matrix and tensor factorizations
  ☆57Updated 10 years ago
• JHUVisionLab / SSC-using-ADMM
  Sparce Subspace Clustering (SSC) is a subspace clustering algorithm that uses sparse vector representation, convex optimization, and spec…
  ☆42Updated 8 years ago
• xwcao / LowRankTRN
  Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"
  ☆34Updated 6 years ago
• hiroyuki-kasai / SparseGDLibrary
  MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
  ☆53Updated 6 years ago
• ares5221 / multi-manifoldlearning
  目前多流形学习算法matlab代码
  ☆13Updated 6 years ago
• csliangdu / FSASL
  An unsupervised feature selection algorithm with adaptive structure learning. This paper has been published as a research paper in KDD 20…
  ☆43Updated 7 years ago
• qbzhao / BCPF
  Matlab code of Bayesian CP Factorization for Tensor Completion
  ☆32Updated 8 years ago
• sjtrny / SubKit
  Subspace Clustering Library
  ☆51Updated 8 years ago
• stephenbeckr / zeroSR1
  Proximal gradient algorithm for convex optimization, using a diagonal +/- rank-1 norm
  ☆20Updated 6 years ago
• danyaljj / constrained_clustering
  A MATLAB project containing many popular / existing constrained clustering algorithms
  ☆27Updated 6 years ago