Alternatives and similar repositories for winference:

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

• LuZhangstat / Pathfinder
  ☆22Updated 2 years ago
• adamhaber / stan2tfp
  stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…
  ☆24Updated 3 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
• jhuggins / viabel
  Efficient, lightweight variational inference and approximation bounds
  ☆43Updated last year
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆30Updated last year
• rgiordan / StanSensitivity
  Tools for automatically generating local sensitivity measures in Stan.
  ☆35Updated 4 years ago
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆29Updated 2 years ago
• tommasorigon / logisticVB
  Variational inference for Bayesian logistic regression
  ☆13Updated 5 years ago
• theodds / SoftBART
  ☆31Updated last month
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆59Updated 3 months ago
• JamesYang007 / adelie
  A fast and flexible Python package for efficiently solving lasso, elastic net, group lasso, and group elastic net problems.
  ☆36Updated 2 months ago
• bambinos / kulprit
  Kullback-Leibler projections for Bayesian model selection in Python
  ☆31Updated last month
• martiningram / mcmc_runtime_comparison
  Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis
  ☆32Updated 2 years ago
• omaclaren / open-learning-material
  Some teaching material and other educational resources
  ☆41Updated 4 months ago
• pierrejacob / couplingsmontecarlo
  some scripts for the couplings enthusiasts!
  ☆32Updated 4 years ago
• TuringLang / papers
  A Bayesian zoo
  ☆15Updated 4 years ago
• jtimonen / lgpr
  R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…
  ☆25Updated 5 months ago
• gabriuma / basis_functions_approach_to_GP
  ☆54Updated 2 years ago
• helske / bssm
  Bayesian Inference of State Space Models
  ☆42Updated 5 months ago
• STOR-i / sgmcmc
  sgmcmc: a stochastic gradient MCMC package for R
  ☆29Updated 4 years ago
• richardkwo / InvariantCausal.jl
  Causal Inference with Invariant Prediction
  ☆25Updated 4 years ago
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆47Updated this week
• ryantibs / genlasso
  Path algorithm for generalized lasso problems
  ☆32Updated 2 years ago
• onnela-lab / gptools
  Gaussian processes on graphs and lattices in Stan and pytorch.
  ☆16Updated 2 months ago
• mgorinova / autoreparam
  Automatic Reparameterisation of Probabilistic Programs
  ☆36Updated 4 years ago
• ColCarroll / couplings
  Unbiased MCMC with couplings
  ☆19Updated 5 years ago
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆59Updated 4 years ago
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated 8 months ago
• MateusMaiaDS / gpbart
  Implementation of GP-BART algorithm.
  ☆16Updated last year
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆82Updated this week