Alternatives and similar repositories for PyRPCA:

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

• FurongHuang / ConvDicLearnTensorFactor
  Tensor methods have emerged as a powerful paradigm for consistent learning of many latent variable models such as topic models, independe…
  ☆17Updated 8 years ago
• nwbirnie / rpca
  Robust Prinicipal Components in Python
  ☆64Updated 6 years ago
• quanmingyao / FaNCL
  Fast Low-Rank Matrix Learning with Nonconvex Regularization. Matlab Code
  ☆22Updated 5 years ago
• SimonDu / CUR-matrix-decomposition
  A matlab library for CUR matrix decomposition
  ☆26Updated 7 years ago
• mbahri / KDRSDL
  Code for Robust Kronecker-Decomposable Component Analysis (ICCV 2017)
  ☆11Updated 2 years ago
• jkarnows / rpcaADMM
  Robust Principal Component Analysis via ADMM in Python
  ☆105Updated 8 years ago
• arolet / wasserstein-dictionary-learning
  A matlab toolbox to perform Wasserstein Dictionary Learning or NMF
  ☆32Updated 8 years ago
• kbatseli / TTr1SVD
  Tensor Train Rank-1 decomposition
  ☆19Updated 6 years ago
• davidhallac / NetworkADMM
  ☆9Updated 9 years ago
• wenli-vision / svmplus_matlab
  An implementation of SVM+
  ☆26Updated 8 years ago
• ryotat / tensor
  matlab code for convex optimization based tensor decomposition (completion/denoising)
  ☆45Updated 10 years ago
• peiyunh / mat-vae
  A MATLAB implementation of Auto-Encoding Variational Bayes
  ☆45Updated 8 years ago
• danielegrattarola / cdt-ccm-aae
  Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)
  ☆11Updated 5 years ago
• nitromannitol / stochastic-quasi-newton
  modular implementation of new algorithm
  ☆13Updated 10 years ago
• ehosseiniasl / Nonnegativity-Constrained-Autoencoder-NCAE
  Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.
  ☆13Updated 9 years ago
• hexiangnan / CoNMF
  Co-regularized Non-negative Matrix Factorization
  ☆18Updated 8 years ago
• locuslab / newton_admm
  A Newton ADMM based solver for Cone programming.
  ☆38Updated 7 years ago
• quanmingyao / FasTer
  Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations. ICML-2019.
  ☆16Updated 5 years ago
• krzakala / LowRAMP
  Matlab code for Low rank Matrix Factorization with AMP
  ☆16Updated 9 years ago
• lorisbaz / Multiview-learning
  Multi-view Learning with Vector-valued RKHS - ICML 2013
  ☆17Updated 10 years ago
• matthieuheitz / WassersteinDictionaryLearning
  Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…
  ☆18Updated 5 years ago
• wangshusen / RandMatrixMatlab
  simple MATLAB code for randomized matrix computation
  ☆23Updated 9 years ago
• ynd / cae.py
  Contractive Auto-Encoders in Numpy
  ☆29Updated 12 years ago
• javiergonzalezh / dpp
  Python package to sample from determinantal point processes
  ☆18Updated 9 years ago
• zhegan27 / dpfa_icml2015
  The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"
  ☆19Updated 9 years ago
• XiaoxiaSun / supervised-deep-sparse-coding-networks
  supervised deep sparse coding networks
  ☆31Updated 7 years ago
• ToniCreswell / DAAE_
  Denoising Adversairal Autoencoders
  ☆40Updated 7 years ago
• dfm / pcp
  A Python implementation of the Principal Component Pursuit algorithm from arXiv:0912.3599
  ☆64Updated 4 years ago
• stephenbalaban / convnet
  ☆14Updated 10 years ago
• arnupretorius / lindaedynamics_icml2018
  Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)
  ☆12Updated 6 years ago