Alternatives and similar repositories for fbpca

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

• mmp2 / megaman
  megaman: Manifold Learning for Millions of Points
  ☆332Updated 2 years ago
• mnick / scikit-tensor
  Python library for multilinear algebra and tensor factorizations
  ☆407Updated 7 years ago
• pystruct / pystruct
  Simple structured learning framework for python
  ☆669Updated 4 years ago
• obachem / kmc2
  Cython implementation of k-MC2 and AFK-MC2 seeding
  ☆207Updated 4 years ago
• HIPS / hypergrad
  Exploring differentiation with respect to hyperparameters
  ☆296Updated 9 years ago
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆424Updated 2 years ago
• balajiln / mondrianforest
  Code for Mondrian Forests (for classification and regression)
  ☆268Updated 9 years ago
• arthurmensch / modl
  Randomized online matrix factorization
  ☆139Updated 5 years ago
• mwhoffman / pybo
  Python package for modular Bayesian optimization
  ☆136Updated 5 years ago
• mims-harvard / nimfa
  Nimfa: Nonnegative matrix factorization in Python
  ☆556Updated 4 years ago
• danielfrg / tsne
  A python wrapper for Barnes-Hut tsne
  ☆411Updated 2 years ago
• allentran / pca-magic
  PCA that iteratively replaces missing data
  ☆222Updated 2 years ago
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆522Updated 4 years ago
• thomaskeck / FastBDT
  Stochastic Gradient Boosted Decision Trees as Standalone, TMVAPlugin and Python-Interface
  ☆247Updated 5 years ago
• BRML / climin
  Optimizers for machine learning
  ☆183Updated 2 years ago
• jakevdp / lpproj
  Scikit-learn compatible Locality Preserving Projections in Python
  ☆95Updated 7 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
• EasonLiao / CudaTree
  Building random forests on GPU
  ☆205Updated 8 years ago
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆249Updated 6 months ago
• davmre / elbow
  Flexible Bayesian inference using TensorFlow
  ☆142Updated 8 years ago
• blei-lab / deep-exponential-families
  Deep exponential families (DEFs)
  ☆55Updated 7 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 7 years ago
• tdhopper / notes-on-dirichlet-processes
  Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation
  ☆412Updated 6 years ago
• lyst / rpforest
  It is a forest of random projection trees
  ☆224Updated 5 years ago
• echen / dirichlet-process
  Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)
  ☆306Updated 10 years ago
• gradientinstitute / aboleth
  A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
  ☆128Updated 4 years ago
• bamos / block
  An intelligent block matrix library for numpy, PyTorch, and beyond.
  ☆310Updated last year
• bayespy / bayespy
  Bayesian Python: Bayesian inference tools for Python
  ☆702Updated 5 months ago
• tmadl / highdimensional-decision-boundary-plot
  Estimating and plotting the decision boundary (decision surface) of machine learning classifiers in higher dimensions (scikit-learn compa…
  ☆235Updated 2 years ago
• daft-dev / daft
  Render probabilistic graphical models using matplotlib
  ☆683Updated 2 weeks ago