Alternatives and similar repositories for open-learning-material

Users that are interested in open-learning-material are comparing it to the libraries listed below

• jtimonen / odemodeling
  R-package for building and fitting Bayesian ODE models in Stan
  ☆29Updated last year
• gabriuma / basis_functions_approach_to_GP
  ☆56Updated 3 years ago
• alexluedtke12 / pydimple
  ☆22Updated last year
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆88Updated 4 months ago
• rgiordan / StanSensitivity
  Tools for automatically generating local sensitivity measures in Stan.
  ☆36Updated 4 years ago
• bob-carpenter / case-studies
  Case studies in applied and computational statistics.
  ☆39Updated 6 months ago
• adamhaber / stan2tfp
  stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…
  ☆25Updated 3 years ago
• avehtari / rhat_ess
  Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
  ☆32Updated 4 years ago
• syclik / stan-algorithms
  Reimplementation of Stan algorithms
  ☆19Updated 3 years ago
• stan-dev / posteriordb
  Database with posteriors of interest for Bayesian inference
  ☆210Updated 2 months ago
• JamesYang007 / adelie
  A fast and flexible Python package for efficiently solving lasso, elastic net, group lasso, and group elastic net problems.
  ☆56Updated 3 months ago
• elizavetasemenova / prob-epi
  Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"
  ☆70Updated 8 months ago
• jgabry / bayes-vis-paper
  'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)
  ☆66Updated 5 years ago
• skdeshpande91 / flexBART
  Towards a more flexible BART
  ☆22Updated this week
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆59Updated 8 months ago
• jgabry / bayes-workflow-book
  Source files for the book "Bayesian Workflow Using Stan"
  ☆96Updated 4 years ago
• jrnold / ssmodels-in-stan
  State space models (dynamic linear models, hidden Markov models) implemented in Stan.
  ☆48Updated 7 years ago
• rtrangucci / multi_output_gps
  ☆13Updated 8 years ago
• LedgerInvesting / bayesblend
  Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…
  ☆37Updated last year
• rok-cesnovar / stan-distributions
  A web app to visualize distributions in Stan. Uses Stan Math C++ compiled to Webassembly to evaluate the functions using actual Stan impl…
  ☆44Updated 3 years ago
• spinkney / helpful_stan_functions
  ☆78Updated last month
• jtimonen / lgpr
  R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…
  ☆26Updated 2 weeks ago
• LaplacesDemonR / LaplacesDemon
  A complete environment for Bayesian inference within R
  ☆97Updated last year
• hyunjimoon / SBC
  ☆62Updated last month
• rizbicki / FlexCoDE
  ☆33Updated 3 years ago
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆83Updated 9 years ago
• lihualei71 / cfcausal
  R package cfcausal
  ☆33Updated 2 years ago
• stan-dev / docs
  Documentation for the Stan language and CmdStan
  ☆41Updated last week
• pierrejacob / couplingsmontecarlo
  some scripts for the couplings enthusiasts!
  ☆32Updated 5 years ago
• to-mi / stan-survival-shrinkage
  Bayesian linear survival analysis with shrinkage priors in Stan
  ☆25Updated 9 years ago