Alternatives and similar repositories for comp-inference-reading:

Users that are interested in comp-inference-reading are comparing it to the libraries listed below

• 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
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆49Updated this week
• bob-carpenter / case-studies
  Case studies in applied and computational statistics.
  ☆36Updated 4 months ago
• avehtari / rhat_ess
  Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
  ☆31Updated 3 years ago
• IBM / yaps
  A surface language for programming Stan models using python syntax
  ☆46Updated 6 years ago
• janfreyberg / jupyterstan
  Define Stan models in jupyter notebook cells using magics
  ☆21Updated 5 years ago
• stan-dev / docs
  Documentation for the Stan language and CmdStan
  ☆39Updated this week
• jgabry / bayes-workflow-book
  Source files for the book "Bayesian Workflow Using Stan"
  ☆95Updated 3 years ago
• LedgerInvesting / bayesblend
  Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…
  ☆34Updated 4 months ago
• onnela-lab / gptools
  Gaussian processes on graphs and lattices in Stan.
  ☆16Updated 3 weeks ago
• elanmart / rust-pgbart
  ☆18Updated 2 years ago
• omaclaren / open-learning-material
  Some teaching material and other educational resources
  ☆41Updated 5 months ago
• aseyboldt / covadapt
  Low rank adaptation of covariance matrices for nuts sampling in pymc3
  ☆14Updated 2 years ago
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆83Updated last month
• flatironinstitute / mcmc-monitor
  Monitor MCMC runs in the browser
  ☆36Updated last year
• arviz-devs / Exploratory-Analysis-of-Bayesian-Models
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆20Updated last week
• cbergmeir / Rlgt
  Rlgt is an R package for Bayesian Exponential Smoothing
  ☆20Updated 4 months ago
• gabriuma / basis_functions_approach_to_GP
  ☆54Updated 2 years ago
• jgabry / bayes-vis-paper
  'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)
  ☆65Updated 4 years ago
• aesara-devs / aemcmc
  AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
  ☆39Updated last year
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated 9 months ago
• aki-nishimura / discontinuous-hmc
  "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu
  ☆27Updated 6 years ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆71Updated 7 months ago
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆50Updated last week
• rgiordan / StanSensitivity
  Tools for automatically generating local sensitivity measures in Stan.
  ☆35Updated 4 years ago
• bob-carpenter / stan-getting-started
  A quarto notebook introducing Stan in Python (and maybe R).
  ☆20Updated last year
• avehtari / casestudies
  ☆27Updated 5 months ago
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆85Updated 8 years ago
• jpiironen / dimreduce
  ☆8Updated 4 years ago
• Non-Contradiction / convexjlr
  Disciplined Convex Programming in R using Convex.jl.
  ☆14Updated 6 years ago