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
• seantalts / simulation-based-calibration
  Repo for code from the SBC paper
  ☆24Updated 6 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
• jtimonen / odemodeling
  R-package for building and fitting Bayesian ODE models in Stan
  ☆29Updated last year
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆59Updated 8 months 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
• MLGlobalHealth / pi-vae
  Code for utilising VAE as means of doing exact MCMC inference in complex high-dimensional space
  ☆14Updated 2 years ago
• JamesYang007 / adelie
  A fast and flexible Python package for efficiently solving lasso, elastic net, group lasso, and group elastic net problems.
  ☆57Updated 3 months ago
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆33Updated 2 years ago
• 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
• stan-dev / posteriordb
  Database with posteriors of interest for Bayesian inference
  ☆211Updated 3 months ago
• avehtari / rhat_ess
  Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
  ☆32Updated 4 years ago
• eth-cscs / abcpy-models
  ☆12Updated 3 years ago
• omaclaren / open-learning-material
  Some teaching material and other educational resources
  ☆41Updated 3 months ago
• onnela-lab / gptools
  Gaussian processes on graphs and lattices in Stan.
  ☆18Updated 8 months ago
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆88Updated 4 months ago
• mattiasvillani / BayesianLearningBook
  Home for the book-in-progress 'Bayesian Learning'
  ☆28Updated last month
• jhuggins / viabel
  Efficient, lightweight variational inference and approximation bounds
  ☆45Updated last month
• richardkwo / InvariantCausal.jl
  Causal Inference with Invariant Prediction
  ☆25Updated 4 years ago
• hazimehh / L0Learn
  Efficient Algorithms for L0 Regularized Learning
  ☆102Updated last year
• jwmi / BayesianMixtures.jl
  Julia package for Bayesian mixture models
  ☆28Updated 5 years ago
• roualdes / bridgestan
  BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.
  ☆106Updated 2 weeks ago
• aterenin / SparseGaussianProcesses.jl
  A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.
  ☆33Updated 5 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
• flatironinstitute / mcmc-monitor
  Monitor MCMC runs in the browser
  ☆37Updated last year
• awllee / SequentialMonteCarlo.jl
  A light interface to serial and multi-threaded Sequential Monte Carlo
  ☆32Updated 3 years ago
• YunyiShen / wild-posteriors-in-the-wild
  Posterior with interesting shapes from actually used models
  ☆13Updated 9 months ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆73Updated last year