Alternatives and similar repositories for mcbackend:

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

• aesara-devs / aemcmc
  AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
  ☆39Updated last year
• arviz-devs / xarray-einstats
  Stats, linear algebra and einops for xarray
  ☆65Updated 5 months ago
• pymc-devs / nutpie
  Python wrapper for nuts-rs
  ☆145Updated last week
• aesara-devs / aeppl
  Tools for an Aesara-based PPL.
  ☆65Updated 6 months ago
• eigenfoo / littlemcmc
  A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
  ☆56Updated 9 months ago
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆50Updated last month
• bambinos / formulae
  Formulas for mixed-effects models in Python
  ☆58Updated 3 months ago
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆44Updated last year
• pymc-devs / pymc-extras
  Powerful add-ons for PyMC
  ☆99Updated this week
• arviz-devs / preliz
  Exploring and eliciting probability distributions
  ☆133Updated this week
• pymc-devs / nuts-rs
  A implementation of NUTS in rust
  ☆75Updated last month
• rlouf / aex
  Sampling with Blackjax on Aesara
  ☆11Updated 2 years ago
• pymc-devs / sunode
  Solve ODEs fast, with support for PyMC
  ☆112Updated 11 months ago
• aesara-devs / aehmc
  An HMC/NUTS implementation in Aesara
  ☆32Updated last year
• exoplanet-dev / pymc-ext
  PyMC Extras extracted from the "exoplanet" library
  ☆19Updated 2 months ago
• arviz-devs / EABM
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆22Updated this week
• williambdean / conjugate
  Bayesian Conjugate Models in Python
  ☆25Updated last week
• wesselb / varz
  Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX
  ☆23Updated 2 years ago
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆99Updated last year
• martiningram / mcmc_runtime_comparison
  Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis
  ☆32Updated 2 years ago
• scikit-hep / resample
  Randomization-based inference in Python
  ☆79Updated last week
• aseyboldt / covadapt
  Low rank adaptation of covariance matrices for nuts sampling in pymc3
  ☆14Updated 2 years ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆71Updated 9 months ago
• ColCarroll / ppl-api
  A comparison of PPL APIs
  ☆27Updated 5 years ago
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated 10 months ago
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆212Updated this week
• junpenglao / All-that-likelihood-with-PyMC3
  ☆72Updated 6 years ago
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆75Updated this week
• bob-carpenter / comp-inference-reading
  Home for the computational inference reading group.
  ☆17Updated 5 years ago
• allen-adastra / xarray_jax
  Simple Xarray + JAX Integration
  ☆18Updated 6 months ago