Alternatives and similar repositories for mondrian-kernel

Users that are interested in mondrian-kernel are comparing it to the libraries listed below

• mgorinova / autoreparam
  Automatic Reparameterisation of Probabilistic Programs
  ☆36Updated 5 years ago
• probcomp / cgpm
  Library of composable generative population models which serve as the modeling and inference backend of BayesDB.
  ☆25Updated last year
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆72Updated last year
• IainNZ / ORSoftwareTools2014
  Repository for code/examples/instructions for the MIT course 15.S60 "Software Tools for Operations Research"
  ☆25Updated 11 years ago
• posterior / treecat
  A Bayesian latent tree model of high-dimensional heterogeneous data
  ☆23Updated 8 years ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆50Updated last year
• stan-dev / httpstan
  HTTP interface to Stan, a package for Bayesian inference.
  ☆40Updated 7 months ago
• probcomp / trcrpm
  Temporally-reweighted Chinese restaurant process mixture models for multivariate time series
  ☆37Updated last year
• ivaleraM / DataTypes
  Automatic Discovery of the Statistical Types of Variables in a Dataset
  ☆23Updated 7 years ago
• naesseth / nestedsmc
  Implementation of various algorithms in the Nested Sequential Monte Carlo family of methods.
  ☆14Updated 10 years ago
• pyro-ppl / sandbox
  Pyro models and misc examples.
  ☆19Updated 4 years ago
• balajiln / pgbart
  Particle Gibbs for Bayesian Additive Regression Trees
  ☆33Updated 10 years ago
• gelman / ep-stan
  ☆32Updated 5 years ago
• rbas2015 / CausalFX
  CausalFX R Package
  ☆13Updated 10 years ago
• itsrainingdata / sparsebn
  Software for learning sparse Bayesian networks
  ☆42Updated 5 years ago
• glmgen / glmgen
  Generalized lasso implementations
  ☆46Updated 11 months ago
• HIPS / firefly-monte-carlo
  Implementation of an algorithm for Markov chain Monte Carlo with data subsampling
  ☆32Updated 9 years ago
• lendle / SuPyLearner
  An implementation of the SuperLearner algorithm in Python based on scikit-learn.
  ☆25Updated 11 years ago
• amzn / MXFusion
  Modular Probabilistic Programming on MXNet
  ☆104Updated 2 years ago
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆85Updated 9 years ago
• STOR-i / sgmcmc
  sgmcmc: a stochastic gradient MCMC package for R
  ☆29Updated 4 years ago
• rosinality / knotter
  Implementation of Mapper algorithm for Topological Data Analysis
  ☆45Updated 5 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 8 years ago
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆30Updated 3 years ago
• edwardlib / papers
  Edward content including papers, posters, and talks
  ☆92Updated 4 years ago
• darrenjw / logreg
  Bayesian inference for a logistic regression model in various languages
  ☆42Updated 2 years ago
• powerscorinne / GLRM
  ☆98Updated 7 years ago
• aki-nishimura / discontinuous-hmc
  "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu
  ☆28Updated 7 years ago
• tharte / mbt
  R in Finance 2016 Seminar: Modern Bayesian Tools for Time Series Analysis
  ☆28Updated 9 years ago
• cranmer / active_sciencing
  active learning + reusable workflows + likelihood free inference
  ☆61Updated 8 years ago