Alternatives and similar repositories for SlicStan

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

• stan-dev / stanc3
  The Stan transpiler (from Stan to C++ and beyond).
  ☆147Updated this week
• stan-dev / posteriordb
  Database with posteriors of interest for Bayesian inference
  ☆211Updated 3 months ago
• justindomke / pangolin
  probabilistic programming focused on fun
  ☆46Updated last month
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆73Updated last year
• darrenjw / logreg
  Bayesian inference for a logistic regression model in various languages
  ☆43Updated 2 years ago
• deepppl / stan-num-pyro
  Python interface for the Stan to (Num)Pyro compiler.
  ☆14Updated 4 years ago
• deepppl / stanc3
  Rewriting the Stan compiler in OCaml
  ☆23Updated 4 years ago
• mgorinova / autoreparam
  Automatic Reparameterisation of Probabilistic Programs
  ☆36Updated 5 years ago
• elanmart / rust-pgbart
  ☆18Updated 2 years ago
• liesel-devs / liesel
  A probabilistic programming framework
  ☆45Updated this week
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆83Updated 9 years ago
• bambinos / kulprit
  Kullback-Leibler projections for Bayesian model selection in Python
  ☆40Updated this week
• aesara-devs / aeppl
  Tools for an Aesara-based PPL.
  ☆67Updated last year
• roualdes / bridgestan
  BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.
  ☆106Updated 2 weeks ago
• bob-carpenter / comp-inference-reading
  Home for the computational inference reading group.
  ☆17Updated 5 years ago
• probsys / AutoGP.jl
  Automated Bayesian model discovery for time series data
  ☆84Updated last week
• pymc-devs / symbolic-pymc
  Tools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.
  ☆64Updated last year
• jgabry / bayes-workflow-book
  Source files for the book "Bayesian Workflow Using Stan"
  ☆96Updated 4 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
• aki-nishimura / discontinuous-hmc
  "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu
  ☆29Updated 7 years ago
• zenna / Omega.jl
  Causal, Higher-Order, Probabilistic Programming
  ☆175Updated last month
• IBM / yaps
  A surface language for programming Stan models using python syntax
  ☆45Updated 6 years ago
• stan-dev / cmdstan
  CmdStan, the command line interface to Stan
  ☆233Updated 2 weeks ago
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆46Updated last year
• lawmurray / Birch
  A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning withi…
  ☆119Updated 10 months ago
• flatironinstitute / mcmc-monitor
  Monitor MCMC runs in the browser
  ☆37Updated last year
• rlouf / aex
  Sampling with Blackjax on Aesara
  ☆11Updated 2 years ago
• omaclaren / open-learning-material
  Some teaching material and other educational resources
  ☆41Updated 3 months ago
• tjhladish / EpiFire
  A fast C++ API for simulating the spread of epidemics on contact networks.
  ☆41Updated 2 years ago
• pyro-ppl / pyro-api
  Generic API for dispatch to Pyro backends.
  ☆16Updated 3 years ago