Alternatives and similar repositories for ppl-api

Users that are interested in ppl-api are comparing it to the libraries listed below

• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆51Updated 2 months ago
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated 11 months ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆72Updated 10 months ago
• ColCarroll / couplings
  Unbiased MCMC with couplings
  ☆19Updated 5 years ago
• arviz-devs / EABM
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆24Updated last week
• martiningram / mcmc_runtime_comparison
  Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis
  ☆32Updated 2 years ago
• bob-carpenter / adaptive-hmc
  Self-tuning HMC algorithms and evaluations
  ☆19Updated 7 months ago
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆44Updated last year
• aesara-devs / aemcmc
  AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
  ☆39Updated last year
• mgorinova / autoreparam
  Automatic Reparameterisation of Probabilistic Programs
  ☆36Updated 4 years ago
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆75Updated this week
• eigenfoo / littlemcmc
  A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
  ☆56Updated 10 months ago
• rlouf / aex
  Sampling with Blackjax on Aesara
  ☆11Updated 2 years ago
• bob-carpenter / comp-inference-reading
  Home for the computational inference reading group.
  ☆17Updated 5 years ago
• wesselb / varz
  Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX
  ☆23Updated 2 years ago
• michaelosthege / pyrff
  pyrff: Python implementation of random fourier feature approximations for gaussian processes
  ☆28Updated 2 months ago
• StatisticalRethinkingJulia / StructuralCausalModels.jl
  Initial look at directed acyclic graph (DAG) based causal models in regression.
  ☆31Updated last year
• aesara-devs / aeppl
  Tools for an Aesara-based PPL.
  ☆65Updated 7 months ago
• canyon289 / ssm_book_club
  ☆17Updated 2 years ago
• junpenglao / All-that-likelihood-with-PyMC3
  ☆72Updated 6 years ago
• suriyadeepan / pm-pyro
  PyMC3-like Interface for Pyro
  ☆37Updated 5 years ago
• andykitchen / numpyo-examples
  Numpyro examples in Python notebooks
  ☆11Updated 4 years ago
• aseyboldt / covadapt
  Low rank adaptation of covariance matrices for nuts sampling in pymc3
  ☆14Updated 2 years ago
• betanalpha / jupyter_case_studies
  Inference case studies in jupyter
  ☆93Updated 6 years ago
• betanalpha / quarto_chapters
  Book Chapter Drafts
  ☆32Updated 8 months ago
• seantalts / simulation-based-calibration
  Repo for code from the SBC paper
  ☆24Updated 6 years ago
• montefiore-institute / hypothesis
  A Python toolkit for (simulation-based) inference and the mechanization of science.
  ☆53Updated 3 years ago
• omarfsosa / tech-talk-hierarchical-models
  ☆41Updated 3 years ago
• justindomke / pangolin
  probabilistic programming focused on fun
  ☆41Updated 7 months ago
• aesara-devs / aehmc
  An HMC/NUTS implementation in Aesara
  ☆32Updated last year