Alternatives and similar repositories for VLEGT

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

• rmcelreath / causal_salad_2021
  One day course on causal inference, MPI-EVA 9 September 2021
  ☆249Updated 3 years ago
• stan-dev / posteriordb
  Database with posteriors of interest for Bayesian inference
  ☆209Updated 3 weeks ago
• rmcelreath / stat_rethinking_2025
  ☆148Updated 6 months ago
• liesel-devs / liesel
  A probabilistic programming framework
  ☆43Updated this week
• omaclaren / open-learning-material
  Some teaching material and other educational resources
  ☆41Updated 3 weeks ago
• elizavetasemenova / prob-epi
  Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"
  ☆68Updated 6 months ago
• betanalpha / knitr_case_studies
  Inference case studies in knitr
  ☆169Updated 3 years ago
• bob-carpenter / prob-stats
  Probability and Statistics: a simulation-based introduction. An open-access book.
  ☆320Updated 2 years ago
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆87Updated 2 months ago
• ben18785 / distribution-zoo
  App to view distribution properties and access dynamic code in R, Python, Matlab, Mathematica, Julia and Stan
  ☆91Updated last year
• bayesianops / stan-survival-model-workshop
  Building a Survival Model in Stan.
  ☆57Updated last year
• bambinos / kulprit
  Kullback-Leibler projections for Bayesian model selection in Python
  ☆40Updated 2 weeks ago
• roualdes / bridgestan
  BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.
  ☆104Updated last week
• rmcelreath / elements_evolutionary_anthropology
  Text project for theoretical primer on human evolutionary ecology
  ☆35Updated 2 years ago
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆85Updated 9 years ago
• stan-dev / projpred
  Projection predictive variable selection
  ☆112Updated last week
• flatironinstitute / mcmc-monitor
  Monitor MCMC runs in the browser
  ☆37Updated last year
• elanmart / rust-pgbart
  ☆18Updated 2 years ago
• betanalpha / quarto_chapters
  Book Chapter Drafts
  ☆35Updated last year
• MatsuuraKentaro / Bayesian_Statistical_Modeling_with_Stan_R_and_Python
  Kentaro Matsuura (2022). Bayesian Statistical Modeling with Stan, R, and Python. Springer, Singapore.
  ☆138Updated 7 months ago
• Shmuma / rethinking-2ed-julia
  Port of Statistical Rethinking (2nd edition) code to Julia
  ☆135Updated 3 years ago
• stan-dev / cmdstan
  CmdStan, the command line interface to Stan
  ☆229Updated last week
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆60Updated 6 months ago
• LedgerInvesting / bayesblend
  Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…
  ☆36Updated 10 months ago
• kpjmcg / Statistical-Rethinking-2023-Python-Notes
  Lecture notes and python code to replicate models built throughout the course of Richard Mcelreath's 2023 Lecture Series 'Statistical Ret…
  ☆73Updated 2 years ago
• pzivich / Delicatessen
  Delicatessen: the Python one-stop sandwich (variance) shop 🥪
  ☆28Updated last month
• dustinstansbury / statistical-rethinking-2023
  Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.
  ☆177Updated last year
• avehtari / modelselection
  Case studies on model assessment, model selection and inference after model selection
  ☆170Updated last year
• rmcelreath / PhD_planning_template
  Outline for planning PhD projects
  ☆111Updated 5 years ago
• kathoffman / causal-inference-visual-guides
  A collection of visual guides to help applied scientists learn causal inference.
  ☆283Updated 3 years ago