Alternatives and similar repositories for Julia0p6ProbabilisticInferenceEngine:

Users that are interested in Julia0p6ProbabilisticInferenceEngine are comparing it to the libraries listed below

• davidbarber / Julia0p5ProbabilisticInferenceEngine
  Basic probability manipulation routines for discrete variables
  ☆47Updated 8 years ago
• compops / pmh-tutorial
  Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"
  ☆28Updated 6 years ago
• mgorinova / autoreparam
  Automatic Reparameterisation of Probabilistic Programs
  ☆36Updated 4 years ago
• philipphennig / probabilistic-numerics.org
  This repository houses the code for the community website http://www.probabilistic-numerics.org
  ☆35Updated 4 years ago
• udellgroup / orie7191
  Materials for ORIE 7191: Topics in Optimization for Machine Learning
  ☆44Updated 6 years ago
• JuliaStats / PGM.jl
  A Julia framework for probabilistic graphical models.
  ☆53Updated 5 years ago
• aki-nishimura / discontinuous-hmc
  "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu
  ☆27Updated 6 years ago
• BigBayes / SGMCMC.jl
  Stochastic Gradient Markov Chain Monte Carlo and Optimisation
  ☆17Updated 8 years ago
• probcomp / trcrpm
  Temporally-reweighted Chinese restaurant process mixture models for multivariate time series
  ☆37Updated last year
• balajiln / pgbart
  Particle Gibbs for Bayesian Additive Regression Trees
  ☆32Updated 9 years ago
• ajbc / lda-svi
  an implementation of latent Dirichlet allocation (LDA) with stochastic variational inference
  ☆20Updated 8 years ago
• luiarthur / TuringBnpBenchmarks
  Benchmarks of Bayesian Nonparametric models in Turing and other PPLs
  ☆29Updated 9 months ago
• OFAI / BayesianNonparametrics.jl
  BayesianNonparametrics in julia
  ☆32Updated 6 years ago
• usnistgov / pmml_pymcBN
  ☆42Updated 6 years ago
• davidbarber / Julia0p4ProbabilisticInferenceEngine
  ☆17Updated 9 years ago
• alanedelman / 18.337_2016
  ☆24Updated 8 years ago
• rlabbe / statistical-rethinking
  Notebooks containing R code from Richard McElreath's Statistical Rethinking
  ☆72Updated 9 years ago
• MikeInnes / zygote-paper
  ☆69Updated 5 years ago
• IainNZ / ORSoftwareTools2014
  Repository for code/examples/instructions for the MIT course 15.S60 "Software Tools for Operations Research"
  ☆25Updated 10 years ago
• icme / cme257-advanced-julia
  Advanced Topics in Scientific Computing with Julia
  ☆90Updated 5 years ago
• tszanalytics / BayesTesting.jl
  ☆15Updated 5 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆33Updated 9 years ago
• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 10 years ago
• alanedelman / 18.338-Eigenvalues-of-Random-Matrices
  ☆27Updated 5 years ago
• richardkwo / InvariantCausal.jl
  Causal Inference with Invariant Prediction
  ☆25Updated 4 years ago
• fonnesbeck / gp_tutorial_pydata
  PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3
  ☆15Updated 7 years ago
• ColCarroll / ppl-api
  A comparison of PPL APIs
  ☆27Updated 5 years ago
• betanalpha / jupyter_case_studies
  Inference case studies in jupyter
  ☆93Updated 6 years ago
• tawheeler / alg4opt_test.jl
  test repo for Algorithms for Optimization
  ☆31Updated 2 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 7 years ago