Alternatives and similar repositories for optimal-scoring

Users that are interested in optimal-scoring are comparing it to the libraries listed below

• rmcelreath / VLEGT
  Verty short course on evolutionary game theory
  ☆183Updated last year
• mgorinova / SlicStan
  A Stan-like probabilistic programming language.
  ☆68Updated 5 years ago
• stan-dev / posteriordb
  Database with posteriors of interest for Bayesian inference
  ☆212Updated last week
• stan-dev / stanc3
  The Stan transpiler (from Stan to C++ and beyond).
  ☆150Updated this week
• probsys / AutoGP.jl
  Automated Bayesian model discovery for time series data
  ☆84Updated last month
• LarremoreLab / covid_serological_sampling
  ☆13Updated 4 years ago
• elizavetasemenova / prob-epi
  Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"
  ☆70Updated 11 months ago
• pierrejacob / couplingsmontecarlo
  some scripts for the couplings enthusiasts!
  ☆32Updated 5 years ago
• adobe / Chronikis
  A compiler for Bayesian time series models.
  ☆24Updated last year
• roualdes / bridgestan
  BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.
  ☆109Updated last week
• bambinos / kulprit
  Kullback-Leibler projections for Bayesian model selection in Python
  ☆40Updated 3 weeks ago
• justindomke / pangolin
  probabilistic programming focused on fun
  ☆49Updated last week
• deepppl / stan-num-pyro
  Python interface for the Stan to (Num)Pyro compiler.
  ☆14Updated 4 years ago
• joelmiller / DynamicProcessesOnNetworks
  ☆35Updated 5 years ago
• bob-carpenter / comp-inference-reading
  Home for the computational inference reading group.
  ☆17Updated 5 years ago
• elanmart / rust-pgbart
  ☆18Updated 3 years ago
• darrenjw / logreg
  Bayesian inference for a logistic regression model in various languages
  ☆43Updated 2 years ago
• betanalpha / mcmc_diagnostics
  Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
  ☆89Updated last week
• bob-carpenter / stan-getting-started
  A quarto notebook introducing Stan in Python (and maybe R).
  ☆36Updated 2 months ago
• jriou / covid_adjusted_cfr
  ☆89Updated 5 years ago
• stan-dev / docs
  Documentation for the Stan language and CmdStan
  ☆42Updated this week
• BasisResearch / chirho
  An experimental language for causal reasoning
  ☆248Updated last month
• liesel-devs / liesel
  A probabilistic programming framework
  ☆45Updated last week
• lawmurray / Birch
  A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning withi…
  ☆121Updated 11 months ago
• aki-nishimura / discontinuous-hmc
  "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu
  ☆29Updated 7 years ago
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆84Updated 9 years ago
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆33Updated 2 years ago
• aesara-devs / aemcmc
  AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
  ☆39Updated 2 years ago
• LuZhangstat / Pathfinder
  ☆24Updated 3 years ago
• syclik / stan-algorithms
  Reimplementation of Stan algorithms
  ☆19Updated 4 years ago