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.
  ☆56Updated last month
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆73Updated last year
• aesara-devs / aemcmc
  AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
  ☆39Updated 2 years ago
• martiningram / mcmc_runtime_comparison
  Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis
  ☆33Updated 2 years ago
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated last year
• junpenglao / All-that-likelihood-with-PyMC3
  ☆73Updated 7 years ago
• bob-carpenter / adaptive-hmc
  Self-tuning HMC algorithms and evaluations
  ☆19Updated last year
• aesara-devs / aeppl
  Tools for an Aesara-based PPL.
  ☆67Updated last year
• canyon289 / ssm_book_club
  ☆18Updated 2 years ago
• eigenfoo / littlemcmc
  A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
  ☆59Updated last year
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆79Updated this week
• arviz-devs / preliz
  Exploring and eliciting probability distributions
  ☆160Updated 3 weeks ago
• ColCarroll / minimc
  Just a little MCMC
  ☆234Updated last year
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆46Updated 2 years ago
• betanalpha / jupyter_case_studies
  Inference case studies in jupyter
  ☆93Updated 7 years ago
• asuagar / statrethink-course-numpyro-2019
  Statistical Rethinking: A Bayesian Course Using Python and NumPyro
  ☆90Updated 4 years ago
• luiarthur / TuringBnpBenchmarks
  Benchmarks of Bayesian Nonparametric models in Turing and other PPLs
  ☆28Updated last year
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆127Updated 5 years ago
• cranmer / stats-ds-book
  http://cranmer.github.io/stats-ds-book
  ☆73Updated 4 years ago
• andykitchen / numpyo-examples
  Numpyro examples in Python notebooks
  ☆11Updated 5 years ago
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆60Updated 9 months ago
• eth-cscs / abcpy
  ABCpy package
  ☆116Updated last year
• matt-graham / continuously-tempered-hmc
  Continuously tempered Hamiltonian Monte Carlo
  ☆12Updated 8 years ago
• wesselb / varz
  Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX
  ☆23Updated 2 years ago
• pymc-devs / nutpie
  Python wrapper for nuts-rs
  ☆182Updated this week
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆68Updated 11 months ago
• aseyboldt / covadapt
  Low rank adaptation of covariance matrices for nuts sampling in pymc3
  ☆15Updated 3 years ago
• arviz-devs / EABM
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆25Updated last week
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆97Updated last year
• omarfsosa / tech-talk-hierarchical-models
  ☆42Updated 3 years ago