Alternatives and similar repositories for rpcaADMM

Users that are interested in rpcaADMM are comparing it to the libraries listed below

• JeanKossaifi / FISTA
  Python implementation of the Fast Iterative Shrinkage/Thresholding Algorithm.
  ☆95Updated 7 years ago
• mp4096 / adawhatever
  MATLAB implementation of AdaGrad, Adam, Adamax, Adadelta etc.
  ☆33Updated 5 years ago
• ryotat / tensor
  matlab code for convex optimization based tensor decomposition (completion/denoising)
  ☆44Updated 11 years ago
• dfm / pcp
  A Python implementation of the Principal Component Pursuit algorithm from arXiv:0912.3599
  ☆66Updated 5 years ago
• stephenbeckr / fastRPCA
  Matlab code for all variants of robust PCA and SPCP
  ☆126Updated 4 years ago
• epfl-lts2 / pyunlocbox
  A Python convex optimization package using proximal splitting methods
  ☆119Updated 5 months ago
• kbatseli / TTr1SVD
  Tensor Train Rank-1 decomposition
  ☆20Updated 6 years ago
• wxiao0421 / onlineRPCA
  Online Robust Principal Component Analysis
  ☆104Updated 6 years ago
• cvxgrp / proximal
  Sample implementations of proximal operators
  ☆194Updated 12 years ago
• dlaptev / RobustPCA
  Robust PCA implementation and examples (Matlab)
  ☆208Updated 7 years ago
• wangshusen / RandMatrixMatlab
  simple MATLAB code for randomized matrix computation
  ☆23Updated 10 years ago
• dganguli / robust-pca
  A simple Python implementation of R-PCA
  ☆252Updated last month
• peiyunh / mat-vae
  A MATLAB implementation of Auto-Encoding Variational Bayes
  ☆48Updated 9 years ago
• weilinear / PyRPCA
  Robust PCA in Python
  ☆36Updated 12 years ago
• bwohlberg / sporco
  Sparse Optimisation Research Code
  ☆277Updated 2 months ago
• andrewssobral / mtt
  MATLAB Tensor Tools
  ☆89Updated 2 months ago
• Craigacp / MIToolbox
  Mutual Information functions for C and MATLAB
  ☆144Updated 7 years ago
• svaiter / pyprox
  Proximal algorithms made easy in Python
  ☆59Updated 9 years ago
• jacobeisenstein / DPMM
  Dirichlet process mixture model code in Matlab. Sampling and variational.
  ☆71Updated 13 years ago
• ramarlina / DenoisingAutoEncoder
  Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation
  ☆150Updated 10 years ago
• andrewssobral / imtsl
  IMTSL - Incremental and Multi-feature Tensor Subspace Learning
  ☆36Updated 4 years ago
• jmetzen / sparse-filtering
  Unsupervised feature learning based on sparse-filtering
  ☆55Updated 11 years ago
• shaobohan / VariationalGaussianCopula
  Matlab Code for Variational Gaussian Copula Inference
  ☆16Updated 9 years ago
• SimonDu / CUR-matrix-decomposition
  A matlab library for CUR matrix decomposition
  ☆27Updated 8 years ago
• bertini36 / GMM
  Variational Inference in Gaussian Mixture Model
  ☆61Updated 5 years ago
• perimosocordiae / ManifoldAlignment
  Manifold Alignment code for Matlab
  ☆11Updated 9 years ago
• sjtrny / SubKit
  Subspace Clustering Library
  ☆51Updated 9 years ago
• ayrna / orca
  Ordinal Regression and Classification Algorithms
  ☆117Updated 5 years ago
• ebigelow / tf-decompose
  Tensor decomposition implemented in TensorFlow
  ☆63Updated 6 years ago
• stephenbeckr / SparsifiedKMeans
  KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means
  ☆60Updated 5 years ago