Alternatives and similar repositories for WH

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

• anastasiospanagiotelis / DimensionReduction
  Short course on dimension reduction for AMSI
  ☆35Updated 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
• storopoli / Turing-Workshop
  DEPRECATED IN FAVOR OF TuringLang/Turing-Workshop
  ☆35Updated 4 years ago
• mattiasvillani / BayesianLearningBook
  Home for the book-in-progress 'Bayesian Learning'
  ☆28Updated last month
• rlouf / aex
  Sampling with Blackjax on Aesara
  ☆11Updated 2 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
• onnela-lab / gptools
  Gaussian processes on graphs and lattices in Stan.
  ☆18Updated 8 months ago
• elizavetasemenova / prob-epi
  Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"
  ☆70Updated 9 months ago
• betanalpha / quarto_chapters
  Book Chapter Drafts
  ☆37Updated last year
• CDCgov / PyRenew
  Python package for multi-signal Bayesian renewal modeling with JAX and NumPyro.
  ☆23Updated last week
• 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
• tszanalytics / BayesTesting.jl
  ☆15Updated 6 years ago
• StatisticalRethinkingJulia / SR2StanPluto.jl
  StatististicalRethinking notebook project using Stan and Pluto notebooks.
  ☆18Updated last year
• QuantEcon / lecture-jax
  Lectures on Quantitative Economics Using JAX
  ☆46Updated last week
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆88Updated 4 months ago
• probsys / AutoGP.jl
  Automated Bayesian model discovery for time series data
  ☆84Updated last week
• optimagic-dev / scipy-estimagic
  Tutorial on Practical Numerical Optimization with SciPy, Estimagic and JAXopt - SciPy 2022
  ☆21Updated 3 years ago
• bankofcanada / TimeSeriesEcon.jl
  ☆32Updated 4 months ago
• PumasAI-Labs / Bayesian-Workshop
  Slides for Bayesian Workshops across the world
  ☆13Updated 2 years ago
• bob-carpenter / stan-getting-started
  A quarto notebook introducing Stan in Python (and maybe R).
  ☆33Updated last week
• mattiasvillani / MLcourse
  Machine Learning, 7.5 credits, a course that I have previously given at Department of Statistics at Stockholm University.
  ☆18Updated last year
• darrenjw / logreg
  Bayesian inference for a logistic regression model in various languages
  ☆43Updated 2 years ago
• sistm / LongituRF
  Random forests for longitudinal data using stochastic semiparametric miced-model
  ☆11Updated 3 years ago
• FK83 / scoringRules
  scoring rules to evaluate probabilistic forecasts
  ☆63Updated 2 months ago
• avehtari / casestudies
  ☆30Updated last year
• FRBNY-DSGE / SMC.jl
  Sequential Monte Carlo algorithm for approximation of posterior distributions.
  ☆75Updated 7 months ago
• jtimonen / odemodeling
  R-package for building and fitting Bayesian ODE models in Stan
  ☆29Updated last year
• nignatiadis / Empirikos.jl
  Empirical Bayes estimation and inference in Julia.
  ☆19Updated this week
• aki-nishimura / NUTS-matlab
  ☆15Updated 8 years ago
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆59Updated 8 months ago