Alternatives and similar repositories for fbpca

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

• mnick / scikit-tensor
  Python library for multilinear algebra and tensor factorizations
  ☆406Updated 7 years ago
• arthurmensch / modl
  Randomized online matrix factorization
  ☆140Updated 5 years ago
• pystruct / pystruct
  Simple structured learning framework for python
  ☆669Updated 4 years ago
• HIPS / hypergrad
  Exploring differentiation with respect to hyperparameters
  ☆296Updated 9 years ago
• obachem / kmc2
  Cython implementation of k-MC2 and AFK-MC2 seeding
  ☆206Updated 4 years ago
• mmp2 / megaman
  megaman: Manifold Learning for Millions of Points
  ☆332Updated 2 years ago
• balajiln / mondrianforest
  Code for Mondrian Forests (for classification and regression)
  ☆267Updated 9 years ago
• mwhoffman / pybo
  Python package for modular Bayesian optimization
  ☆137Updated 4 years ago
• BRML / climin
  Optimizers for machine learning
  ☆183Updated 2 years ago
• mims-harvard / nimfa
  Nimfa: Nonnegative matrix factorization in Python
  ☆554Updated 4 years ago
• davmre / elbow
  Flexible Bayesian inference using TensorFlow
  ☆142Updated 8 years ago
• echen / dirichlet-process
  Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)
  ☆306Updated 10 years ago
• lvdmaaten / bhtsne
  Barnes-Hut t-SNE
  ☆918Updated 4 years ago
• bayespy / bayespy
  Bayesian Python: Bayesian inference tools for Python
  ☆702Updated 4 months ago
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆247Updated 5 months ago
• automl / HPOlib
  HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…
  ☆166Updated 7 years ago
• gradientinstitute / aboleth
  A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
  ☆128Updated 4 years ago
• blei-lab / deep-exponential-families
  Deep exponential families (DEFs)
  ☆55Updated 7 years ago
• cthurau / pymf
  Python Matrix Factorization Module
  ☆138Updated 6 years ago
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆521Updated 4 years ago
• gregversteeg / CorEx
  CorEx or "Correlation Explanation" discovers a hierarchy of informative latent factors. This reference implementation has been superseded…
  ☆306Updated 8 years ago
• HIPS / Probabilistic-Backpropagation
  Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.
  ☆191Updated 6 years ago
• Yelp / MOE
  A global, black box optimization engine for real world metric optimization.
  ☆1,320Updated 2 years ago
• thomaskeck / FastBDT
  Stochastic Gradient Boosted Decision Trees as Standalone, TMVAPlugin and Python-Interface
  ☆247Updated 5 years ago
• HIPS / Spearmint
  Spearmint Bayesian optimization codebase
  ☆1,559Updated 5 years ago
• lyst / rpforest
  It is a forest of random projection trees
  ☆224Updated 5 years ago
• jamesrobertlloyd / gpss-research
  Kernel structure discovery research code - likely to be unstable
  ☆193Updated 10 years ago
• JasperSnoek / spearmint
  Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…
  ☆1,394Updated 8 years ago
• tdhopper / notes-on-dirichlet-processes
  Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation
  ☆413Updated 6 years ago
• rmcantin / bayesopt
  BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
  ☆421Updated 2 years ago