Alternatives and similar repositories for LibBi

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

• 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
• glmgen / glmgen
  Generalized lasso implementations
  ☆46Updated 9 months ago
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆86Updated 9 years ago
• seantalts / simulation-based-calibration
  Repo for code from the SBC paper
  ☆24Updated 6 years ago
• stan-dev / cmdstan
  CmdStan, the command line interface to Stan
  ☆223Updated this week
• aki-nishimura / discontinuous-hmc
  "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu
  ☆28Updated 6 years ago
• STOR-i / sgmcmc
  sgmcmc: a stochastic gradient MCMC package for R
  ☆29Updated 4 years ago
• tjhladish / EpiFire
  A fast C++ API for simulating the spread of epidemics on contact networks.
  ☆41Updated last year
• lawmurray / Birch
  A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning withi…
  ☆116Updated 5 months ago
• jrnold / ssmodels-in-stan
  State space models (dynamic linear models, hidden Markov models) implemented in Stan.
  ☆47Updated 7 years ago
• avehtari / PSIS
  Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave
  ☆77Updated last year
• dmbates / JuliaWorkshop
  Materials for a workshop on Julia programming at UW-Madison Statistics Dept. in June 2014
  ☆31Updated 6 years ago
• omaclaren / open-learning-material
  Some teaching material and other educational resources
  ☆41Updated 9 months ago
• jwmi / BayesianMixtures.jl
  Julia package for Bayesian mixture models
  ☆27Updated 4 years ago
• madeleineudell / LowRankModels.jl
  LowRankModels.jl is a julia package for modeling and fitting generalized low rank models.
  ☆192Updated 3 years ago
• kingaa / pomp
  R package for statistical inference using partially observed Markov processes
  ☆116Updated last month
• mgorinova / autoreparam
  Automatic Reparameterisation of Probabilistic Programs
  ☆36Updated 5 years ago
• martiningram / mcmc_runtime_comparison
  Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis
  ☆32Updated 2 years ago
• jasonge27 / picasso
  Penalized Sparse Learning Solver - Unleash the Power of Nonconvex Penalty
  ☆76Updated 3 years ago
• hazimehh / L0Learn
  Efficient Algorithms for L0 Regularized Learning
  ☆101Updated last year
• ryantibs / best-subset
  Comparisons between best subset selection and other popular sparse regression estimators
  ☆86Updated last year
• ColCarroll / couplings
  Unbiased MCMC with couplings
  ☆19Updated 5 years ago
• JuliaStats / PGM.jl
  A Julia framework for probabilistic graphical models.
  ☆53Updated 5 years ago
• gabriuma / basis_functions_approach_to_GP
  ☆56Updated 2 years ago
• airoldilab / sgd
  An R package for large scale estimation with stochastic gradient descent
  ☆62Updated last year
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆72Updated 11 months ago
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆29Updated 2 years ago
• fonnesbeck / stan_workshop_2016
  Bayesian Modeling using Stan in R (May/June 2016)
  ☆54Updated 9 years ago
• beamandrew / HMC_GPU
  Code to accompany the paper "Fast Hamiltonian Monte Carlo Using GPU Computing"
  ☆35Updated 8 years ago
• JuliaOpt / juliaopt-notebooks
  A collection of IJulia notebooks related to optimization
  ☆89Updated 5 years ago