Alternatives and similar repositories for winference

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

• LuZhangstat / Pathfinder
  ☆24Updated 3 years ago
• aki-nishimura / discontinuous-hmc
  "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu
  ☆29Updated 7 years ago
• gabriuma / basis_functions_approach_to_GP
  ☆56Updated 3 years ago
• pierrejacob / couplingsmontecarlo
  some scripts for the couplings enthusiasts!
  ☆32Updated 5 years ago
• AaltoPML / spatiotemporal-graph-kernels
  The official implementation of Non-separable Spatio-temporal Graph Kernels via SPDEs.
  ☆16Updated 3 years ago
• jtimonen / odemodeling
  R-package for building and fitting Bayesian ODE models in Stan
  ☆29Updated last year
• seantalts / simulation-based-calibration
  Repo for code from the SBC paper
  ☆24Updated 6 years ago
• MLGlobalHealth / pi-vae
  Code for utilising VAE as means of doing exact MCMC inference in complex high-dimensional space
  ☆14Updated 2 years ago
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆60Updated 9 months ago
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆33Updated 2 years ago
• hazimehh / L0Learn
  Efficient Algorithms for L0 Regularized Learning
  ☆102Updated last year
• bernarditaried / ZigZag-Sampling-Tutorial
  This tutorial is a basic guide to understanding the Zig-Zag Sampling method. This document is released with the aim of diffusion and shar…
  ☆22Updated 6 years ago
• edfong / conformal_bayes
  Conformal Bayes with importance sampling
  ☆23Updated 4 years ago
• JamesYang007 / adelie
  A fast and flexible Python package for efficiently solving lasso, elastic net, group lasso, and group elastic net problems.
  ☆58Updated 4 months ago
• mattiasvillani / BayesianLearningBook
  Home for the book-in-progress 'Bayesian Learning'
  ☆28Updated last month
• roualdes / bridgestan
  BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.
  ☆106Updated 3 weeks ago
• omaclaren / open-learning-material
  Some teaching material and other educational resources
  ☆41Updated 3 months ago
• chris-nemeth / sgmcmc-review-paper
  The code in this repository follows the paper "Stochastic gradient MCMC"
  ☆26Updated 6 years ago
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆30Updated 3 years ago
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆84Updated 9 years ago
• ryantibs / genlasso
  Path algorithm for generalized lasso problems
  ☆33Updated 3 years ago
• ryantibs / best-subset
  Comparisons between best subset selection and other popular sparse regression estimators
  ☆88Updated 2 years ago
• stan-dev / posteriordb
  Database with posteriors of interest for Bayesian inference
  ☆212Updated 3 months ago
• nignatiadis / Empirikos.jl
  Empirical Bayes estimation and inference in Julia.
  ☆19Updated last month
• avehtari / rhat_ess
  Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
  ☆32Updated 4 years ago
• simonster / LARS.jl
  Least angle regression and the lasso covariance test
  ☆25Updated 2 years ago
• martiningram / mcmc_runtime_comparison
  Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis
  ☆33Updated 2 years ago
• jhuggins / viabel
  Efficient, lightweight variational inference and approximation bounds
  ☆46Updated 2 months ago
• awllee / SequentialMonteCarlo.jl
  A light interface to serial and multi-threaded Sequential Monte Carlo
  ☆32Updated 4 years ago
• liesel-devs / liesel
  A probabilistic programming framework
  ☆45Updated this week