Alternatives and similar repositories for chirho

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

• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆221Updated 3 months ago
• aesara-devs / aeppl
  Tools for an Aesara-based PPL.
  ☆66Updated 10 months ago
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆75Updated this week
• aangelopoulos / ppi_py
  A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
  ☆254Updated 3 months ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆106Updated 3 weeks ago
• probml / sts-jax
  Structural Time Series in JAX
  ☆199Updated last year
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆369Updated 4 months ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆83Updated 8 months ago
• arviz-devs / preliz
  Exploring and eliciting probability distributions
  ☆145Updated last month
• juangamella / causal-chamber
  Public dataset repository for the Causal Chamber Project
  ☆42Updated last month
• justindomke / pangolin
  probabilistic programming focused on fun
  ☆41Updated 3 weeks ago
• agrumery / aGrUM
  This repository is a mirror. If you want to raise an issue or contact us, we encourage you to do it on Gitlab (https://gitlab.com/agrumer…
  ☆44Updated last month
• causalincentives / pycid
  Library for graphical models of decision making, based on pgmpy and networkx
  ☆109Updated last year
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆58Updated last year
• pedemonte96 / causaleffect
  Python package to compute conditional and non-conditional causal effects.
  ☆35Updated 3 years ago
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆77Updated 4 years ago
• fehiepsi / rethinking-numpyro
  Statistical Rethinking (2nd ed.) with NumPyro
  ☆460Updated 3 months ago
• probml / rebayes
  Recursive Bayesian Estimation (Sequential / Online Inference)
  ☆59Updated last year
• pymc-devs / pymc-bart
  ☆122Updated this week
• BasisResearch / millipede
  A library for bayesian variable selection
  ☆30Updated 7 months ago
• larslorch / dibs
  DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021
  ☆51Updated last year
• AaltoML / BayesNewton
  Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
  ☆235Updated last year
• martiningram / jax_advi
  ☆16Updated 4 months ago
• pymc-devs / pymc-extras
  Powerful add-ons for PyMC
  ☆112Updated this week
• jhuggins / viabel
  Efficient, lightweight variational inference and approximation bounds
  ☆44Updated last year
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆104Updated last year
• jax-ml / coix
  Inference Combinators in JAX
  ☆49Updated 3 months ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆72Updated last year
• bayesflow-org / bayesflow
  A Python library for amortized Bayesian workflows using generative neural networks.
  ☆595Updated this week
• kevinsbello / dagma
  A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matr…
  ☆123Updated last year