Alternatives and similar repositories for wpca

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

• nudomarinero / wquantiles
  weighted quantiles with Python
  ☆53Updated 4 years ago
• erichson / ristretto
  Randomized Dimension Reduction Library
  ☆116Updated 4 years ago
• shimazaki / AdaptiveKDE
  Python module for adaptive kernel density estimation
  ☆62Updated 2 years ago
• jmetzen / gp_extras
  Additional kernels that can be used with scikit-learn's Gaussian Process module
  ☆82Updated last year
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆248Updated 3 months ago
• sbailey / empca
  Principal Component Analysis (PCA) for Missing and/or Noisy Data
  ☆81Updated 8 years ago
• dfm / george
  Fast and flexible Gaussian Process regression in Python
  ☆458Updated last week
• jakevdp / supersmoother
  Efficient pure Python implementation of Friedman's Supersmoother
  ☆97Updated last week
• rcmorehead / simpleabc
  A Python package for Approximate Bayesian Computation
  ☆38Updated 9 years ago
• pmelchior / pygmmis
  Gaussian mixture model for incomplete (missing or truncated) and noisy data
  ☆102Updated 3 years ago
• dfm / pcp
  A Python implementation of the Principal Component Pursuit algorithm from arXiv:0912.3599
  ☆66Updated 5 years ago
• griffinfoster / shapelets
  python-based shapelet decomposition package
  ☆26Updated 8 years ago
• cgevans / scikits-bootstrap
  Python/numpy bootstrap confidence interval estimation.
  ☆179Updated last month
• eth-cscs / abcpy
  ABCpy package
  ☆115Updated last year
• janpipek / physt
  Python histogram library - histograms as updateable, fully semantic objects with visualization tools. [P]ython [HYST]ograms.
  ☆135Updated last week
• pafoster / pyitlib
  A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.
  ☆99Updated 4 months ago
• mmp2 / megaman
  megaman: Manifold Learning for Millions of Points
  ☆329Updated 2 years ago
• mathurinm / celer
  Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.
  ☆232Updated 3 months ago
• andim / noisyopt
  Python library for optimizing noisy functions.
  ☆88Updated 3 years ago
• isadoranun / FATS
  ☆75Updated last year
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 8 years ago
• epfl-lts2 / pyunlocbox
  A Python convex optimization package using proximal splitting methods
  ☆115Updated last week
• vnmabus / dcor
  Distance correlation and related E-statistics in Python
  ☆155Updated last year
• SheffieldML / notebook
  Collection of jupyter notebooks for demonstrating software.
  ☆169Updated 2 years ago
• mfouesneau / faststats
  fast algorithm to do statistics on big data
  ☆37Updated last month
• elfi-dev / elfi
  ELFI - Engine for Likelihood-Free Inference
  ☆277Updated 4 months ago
• kimjingu / nonnegfac-python
  Python toolbox for nonnegative matrix factorization
  ☆115Updated 7 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆230Updated 4 years ago
• Gabriel-p / pythonMCMC
  A list of Python-based MCMC & ABC packages
  ☆123Updated 3 months ago
• JamesRitchie / scikit-rvm
  Relevance Vector Machine implementation using the scikit-learn API.
  ☆238Updated last month