Alternatives and similar repositories for robust-pca

Users that are interested in robust-pca are comparing it to the libraries listed below

• mathurinm / celer
  Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.
  ☆232Updated 3 months ago
• dfm / pcp
  A Python implementation of the Principal Component Pursuit algorithm from arXiv:0912.3599
  ☆66Updated 5 years ago
• jakevdp / wpca
  Weighted Principal Component Analysis (PCA) in Python
  ☆156Updated 7 years ago
• yngvem / group-lasso
  Group Lasso implementation following the scikit-learn API
  ☆107Updated last year
• jkarnows / rpcaADMM
  Robust Principal Component Analysis via ADMM in Python
  ☆107Updated 8 years ago
• JamesRitchie / scikit-rvm
  Relevance Vector Machine implementation using the scikit-learn API.
  ☆238Updated last month
• minepy / mictools
  A practical tool for Maximal Information Coefficient (MIC) analysis
  ☆137Updated last year
• riken-aip / pyHSICLasso
  Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
  ☆186Updated 3 years ago
• wxiao0421 / onlineRPCA
  Online Robust Principal Component Analysis
  ☆95Updated 5 years ago
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆176Updated 3 years ago
• kimjingu / nonnegfac-python
  Python toolbox for nonnegative matrix factorization
  ☆115Updated 7 years ago
• tonyduan / matrix-completion
  Lightweight Python library for in-memory matrix completion.
  ☆108Updated 2 years ago
• cangermueller / ppca
  Probabilistic Principal Component Analysis
  ☆63Updated 8 years ago
• minepy / minepy
  minepy - Maximal Information-based Nonparametric Exploration
  ☆229Updated last year
• erichson / ristretto
  Randomized Dimension Reduction Library
  ☆116Updated 4 years ago
• mstrazar / mklaren
  A Python Multiple kernel learning library.
  ☆57Updated 6 years ago
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆248Updated 3 months ago
• pavelkomarov / projection-pursuit
  An implementation of multivariate projection pursuit regression and univariate classification
  ☆37Updated this week
• pafoster / pyitlib
  A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.
  ☆99Updated 3 months ago
• vnmabus / dcor
  Distance correlation and related E-statistics in Python
  ☆155Updated last year
• tiskw / random-fourier-features
  Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model
  ☆101Updated 10 months ago
• nickc1 / skccm
  Convergent Cross Mapping in Scikit Learn's style
  ☆98Updated 5 years ago
• scikit-learn-contrib / skglm
  Fast and modular sklearn replacement for generalized linear models
  ☆183Updated last month
• paulbrodersen / entropy_estimators
  Estimators for the entropy and other information theoretic quantities of continuous distributions
  ☆144Updated last year
• fpetitjean / DBA
  DBA: Averaging for Dynamic Time Warping
  ☆197Updated 4 years ago
• rymc / n2d
  A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …
  ☆138Updated last year
• srome / pykliep
  A density ratio estimator package for python using the KLIEP algorithm.
  ☆108Updated 5 years ago
• danielhomola / mifs
  Parallelized Mutual Information based Feature Selection module.
  ☆286Updated 3 years ago
• IvanoLauriola / MKLpy
  A package for Multiple Kernel Learning in Python
  ☆132Updated 2 years ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆76Updated 5 years ago