Alternatives and similar repositories for megaman

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

• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆249Updated 7 months ago
• daft-dev / daft
  Render probabilistic graphical models using matplotlib
  ☆683Updated this week
• jamesrobertlloyd / gpss-research
  Kernel structure discovery research code - likely to be unstable
  ☆195Updated 10 years ago
• mwhoffman / pybo
  Python package for modular Bayesian optimization
  ☆136Updated 5 years ago
• jmetzen / gp_extras
  Additional kernels that can be used with scikit-learn's Gaussian Process module
  ☆84Updated last year
• mcleonard / sampyl
  MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice
  ☆339Updated 3 years ago
• SheffieldML / notebook
  Collection of jupyter notebooks for demonstrating software.
  ☆169Updated 2 years ago
• allentran / pca-magic
  PCA that iteratively replaces missing data
  ☆222Updated 2 years ago
• elfi-dev / elfi
  ELFI - Engine for Likelihood-Free Inference
  ☆279Updated 8 months ago
• uchicago-cs / deepdish
  Flexible HDF5 saving/loading and other data science tools from the University of Chicago
  ☆273Updated last year
• dit / dit
  Python package for information theory.
  ☆563Updated 8 months ago
• mnick / scikit-tensor
  Python library for multilinear algebra and tensor factorizations
  ☆407Updated 7 years ago
• GPflow / GPflowOpt
  Bayesian Optimization using GPflow
  ☆272Updated 5 years ago
• marionmari / pyGPs
  pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.
  ☆217Updated 6 years ago
• ericsuh / dirichlet
  Dirichlet MLE python library
  ☆117Updated 5 months ago
• mattjj / pybasicbayes
  ☆155Updated 6 years ago
• balajiln / mondrianforest
  Code for Mondrian Forests (for classification and regression)
  ☆268Updated 9 years ago
• facebookarchive / fbpca
  Fast Randomized PCA/SVD
  ☆496Updated 6 years ago
• slinderman / pypolyagamma
  Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.
  ☆84Updated 5 years ago
• jamesrobertlloyd / gp-structure-search
  ☆244Updated 8 years ago
• stephenhky / PyTDA
  Topological Data Analysis in Python
  ☆172Updated 6 years ago
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆522Updated 4 years ago
• powerscorinne / GLRM
  ☆99Updated 7 years ago
• josejimenezluna / pyGPGO
  Bayesian optimization for Python
  ☆246Updated 3 years 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
• arthurmensch / modl
  Randomized online matrix factorization
  ☆139Updated 5 years ago
• alshedivat / keras-gp
  Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
  ☆251Updated last year
• pystruct / pystruct
  Simple structured learning framework for python
  ☆669Updated 4 years ago
• scikit-tda / kepler-mapper
  Kepler Mapper: A flexible Python implementation of the Mapper algorithm.
  ☆646Updated last month
• gmum / pykernels
  Python library for working with kernel methods in machine learning
  ☆121Updated 6 years ago