Alternatives and similar repositories for rpca

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

• weilinear / PyRPCA
  Robust PCA in Python
  ☆36Updated 12 years ago
• bwohlberg / sporco-cuda
  CUDA extension for the SPORCO project
  ☆18Updated 4 years ago
• FurongHuang / ConvDicLearnTensorFactor
  Tensor methods have emerged as a powerful paradigm for consistent learning of many latent variable models such as topic models, independe…
  ☆17Updated 9 years ago
• dlaptev / RobustPCA
  Robust PCA implementation and examples (Matlab)
  ☆209Updated 7 years ago
• jkarnows / rpcaADMM
  Robust Principal Component Analysis via ADMM in Python
  ☆107Updated 9 years ago
• dfm / pcp
  A Python implementation of the Principal Component Pursuit algorithm from arXiv:0912.3599
  ☆66Updated 5 years ago
• locuslab / newton_admm
  A Newton ADMM based solver for Cone programming.
  ☆39Updated 8 years ago
• sasif / L1-homotopy
  Codes related to L1-norm minimization using homotopy
  ☆36Updated 12 years ago
• andrewssobral / mtt
  MATLAB Tensor Tools
  ☆89Updated last month
• gaochen315 / panoramicRPCA
  Panoramic robust PCA for foreground-background separation on noisy, free-motion camera video
  ☆63Updated 6 years ago
• stephenbeckr / fastRPCA
  Matlab code for all variants of robust PCA and SPCP
  ☆126Updated 4 years ago
• JeanKossaifi / FISTA
  Python implementation of the Fast Iterative Shrinkage/Thresholding Algorithm.
  ☆94Updated 7 years ago
• mbahri / KDRSDL
  Code for Robust Kronecker-Decomposable Component Analysis (ICCV 2017)
  ☆12Updated 3 years ago
• slundqui / TFSparseCode
  TensorFlow implementation for Sparse Coding
  ☆29Updated 6 years ago
• stephenbeckr / SSC
  Sparse Subspace Clustering (for linear and affine spaces)
  ☆19Updated 5 years ago
• rick-chang / OneNet
  One Network to Solve Them All
  ☆84Updated 7 years ago
• stephenbeckr / SparsifiedKMeans
  KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means
  ☆60Updated 5 years ago
• ryotat / tensor
  matlab code for convex optimization based tensor decomposition (completion/denoising)
  ☆44Updated 11 years ago
• spencerkent / generalized-lloyd-quantization
  An implementation of the Generalized Lloyd method for vector quantization
  ☆31Updated 5 years ago
• sergeyvoronin / LowRankMatrixDecompositionCodes
  RSVDPACK: Implementations of fast algorithms for computing the low rank SVD, interpolative and CUR decompositions of a matrix, using ran…
  ☆94Updated 3 years ago
• el3ment / spectral_representations_for_convolutional_neural_networks
  ☆41Updated 9 years ago
• mmaire / ae-multigrid
  Progressive Multigrid Eigensolver for Multiscale Angular Embedding Problems
  ☆17Updated 9 years ago
• hrldcpr / pyLAPJV
  Jonker-Volgenant / LAPJV algorithm for the linear assignment problem, in Python
  ☆52Updated 2 years ago
• andrewssobral / imtsl
  IMTSL - Incremental and Multi-feature Tensor Subspace Learning
  ☆37Updated 4 years ago
• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆67Updated 2 years ago
• rubinxin / FITBO
  Code for Fast Information-theoretic Bayesian Optimisation
  ☆16Updated 7 years ago
• SimonDu / CUR-matrix-decomposition
  A matlab library for CUR matrix decomposition
  ☆27Updated 8 years ago
• andreydung / MRF
  Markov Random Field
  ☆45Updated 12 years ago
• minhnhat93 / lfa_sc
  Matlab implementation of the paper "Learning fast approximations of sparse coding"
  ☆31Updated 10 years ago
• jhseu / nca
  Neighborhood Components Analysis in C++
  ☆38Updated 15 years ago