Alternatives and similar repositories for RPCA

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

• griffinfoster / shapelets
  python-based shapelet decomposition package
  ☆26Updated 8 years ago
• sbailey / empca
  Principal Component Analysis (PCA) for Missing and/or Noisy Data
  ☆82Updated 8 years ago
• drrelyea / spgl1
  Port of SPGL1 to python
  ☆46Updated last year
• jakevdp / pypropack
  A python wrapper for the PROPACK library
  ☆51Updated 8 years ago
• PrincetonUniversity / FastTemplatePeriodogram
  NlogN algorithm for least-squares fitting of periodic templates to noisy, non-equispaced time-series data.
  ☆53Updated 4 years ago
• jakevdp / wpca
  Weighted Principal Component Analysis (PCA) in Python
  ☆160Updated 7 years ago
• canerturkmen / nmflib
  nonnegative matrix factorization and some variants in numpy
  ☆18Updated 10 years ago
• ratt-ru / PyMORESANE
  Repository for the Python version of the MORESANE deconvolution algorithm
  ☆11Updated 7 years ago
• jflamant / bispy
  BiSPy : a python framework for signal processing of bivariate signals
  ☆24Updated last year
• sasif / L1-homotopy
  Codes related to L1-norm minimization using homotopy
  ☆36Updated 12 years ago
• jbobin / pyGMCALab
  ☆47Updated 7 years ago
• pmelchior / pygmmis
  Gaussian mixture model for incomplete (missing or truncated) and noisy data
  ☆103Updated 3 years ago
• mp4096 / adawhatever
  MATLAB implementation of AdaGrad, Adam, Adamax, Adadelta etc.
  ☆33Updated 5 years ago
• Felix-Yan / FastICA
  A python version of fast and robust ICA based on the paper of Aapo Hyvärinen.
  ☆29Updated 2 years ago
• jkarnows / rpcaADMM
  Robust Principal Component Analysis via ADMM in Python
  ☆107Updated 8 years ago
• felipeyanez / nmf
  Primal-dual Algorithms for Non-negative Matrix Factorization with the Kullback-Leibler Divergence
  ☆23Updated 6 years ago
• guangtunbenzhu / NonnegMFPy
  Vectorized Nonnegative Matrix Factorization with heteroscedastic uncertainties and missing data
  ☆32Updated last year
• basp-group / sopt
  SOPT: Sparse OPTimisation.
  ☆21Updated 7 years ago
• dfm / python-nufft
  Python bindings to a subset of the NUFFT algorithm
  ☆62Updated last year
• wxiao0421 / onlineRPCA
  Online Robust Principal Component Analysis
  ☆96Updated 5 years ago
• nikcleju / pyCSalgos
  Python Compressed Sensing algorithms
  ☆68Updated 5 years ago
• colinvaz / nmf-toolbox
  Toolbox for performing Non-negative Matrix Factorization (NMF) and several variants
  ☆47Updated 6 years ago
• ryotat / tensor
  matlab code for convex optimization based tensor decomposition (completion/denoising)
  ☆44Updated 10 years ago
• adrn / mpipool
  A Python MPI Pool
  ☆17Updated 5 years ago
• jmetzen / sparse-filtering
  Unsupervised feature learning based on sparse-filtering
  ☆55Updated 11 years ago
• hdong920 / Tensor_RPCA_ScaledGD
  ☆13Updated 2 years ago
• EMS-TU-Ilmenau / fastmat
  A library to build up lazily evaluated expressions of linear transforms for efficient scientific computing.
  ☆25Updated last year
• dfm / pcp
  A Python implementation of the Principal Component Pursuit algorithm from arXiv:0912.3599
  ☆66Updated 5 years ago
• aaren / wavelets
  Python implementation of the wavelet analysis found in Torrence and Compo (1998)
  ☆303Updated 3 years ago
• jfbercher / LecturesSignalProcessing
  A series of Jupyter notebooks on signal processing
  ☆52Updated 6 years ago