Alternatives and similar repositories for fbpca:

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

• obachem / kmc2
  Cython implementation of k-MC2 and AFK-MC2 seeding
  ☆203Updated 3 years ago
• HIPS / hypergrad
  Exploring differentiation with respect to hyperparameters
  ☆295Updated 9 years ago
• mmp2 / megaman
  megaman: Manifold Learning for Millions of Points
  ☆326Updated 2 years ago
• mnick / scikit-tensor
  Python library for multilinear algebra and tensor factorizations
  ☆406Updated 6 years ago
• pystruct / pystruct
  Simple structured learning framework for python
  ☆665Updated 3 years ago
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆247Updated last year
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆419Updated last year
• BRML / climin
  Optimizers for machine learning
  ☆183Updated last year
• arthurmensch / modl
  Randomized online matrix factorization
  ☆139Updated 4 years ago
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆517Updated 3 years ago
• glm-tools / pyglmnet
  Python implementation of elastic-net regularized generalized linear models
  ☆280Updated last year
• scikit-learn-contrib / polylearn
  A library for factorization machines and polynomial networks for classification and regression in Python.
  ☆245Updated 4 years ago
• bayespy / bayespy
  Bayesian Python: Bayesian inference tools for Python
  ☆696Updated 6 months ago
• gregversteeg / CorEx
  CorEx or "Correlation Explanation" discovers a hierarchy of informative latent factors. This reference implementation has been superseded…
  ☆305Updated 7 years ago
• mims-harvard / nimfa
  Nimfa: Nonnegative matrix factorization in Python
  ☆545Updated 4 years ago
• JasperSnoek / spearmint
  Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…
  ☆1,396Updated 7 years ago
• mcleonard / sampyl
  MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice
  ☆340Updated 2 years ago
• larsmans / seqlearn
  Sequence learning toolkit for Python
  ☆694Updated 2 years ago
• HIPS / Spearmint
  Spearmint Bayesian optimization codebase
  ☆1,558Updated 5 years ago
• lferry007 / LargeVis
  ☆713Updated last year
• powerscorinne / GLRM
  ☆98Updated 7 years ago
• davmre / elbow
  Flexible Bayesian inference using TensorFlow
  ☆143Updated 8 years ago
• automl / RoBO
  RoBO: a Robust Bayesian Optimization framework
  ☆485Updated 6 years ago
• mila-iqia / fuel
  A data pipeline framework for machine learning
  ☆869Updated 2 years ago
• jmschrei / yahmm
  Yet Another Hidden Markov Model repository.
  ☆248Updated 9 years ago
• daft-dev / daft
  Render probabilistic graphical models using matplotlib
  ☆678Updated last week
• echen / dirichlet-process
  Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)
  ☆304Updated 10 years ago
• automl / HPOlib
  HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…
  ☆166Updated 6 years ago
• thomaskeck / FastBDT
  Stochastic Gradient Boosted Decision Trees as Standalone, TMVAPlugin and Python-Interface
  ☆246Updated 4 years ago
• lyst / rpforest
  It is a forest of random projection trees
  ☆224Updated 5 years ago