Alternatives and similar repositories for NUTS

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

• matt-graham / mici
  Manifold Markov chain Monte Carlo methods in Python
  ☆236Updated last month
• Gabriel-p / pythonMCMC
  A list of Python-based MCMC & ABC packages
  ☆123Updated 8 months ago
• ColCarroll / minimc
  Just a little MCMC
  ☆235Updated last year
• minaskar / zeus
  ⚡️ zeus: Lightning Fast MCMC ⚡️
  ☆241Updated last year
• pints-team / pints
  Probabilistic Inference on Noisy Time Series
  ☆240Updated this week
• eth-cscs / abcpy
  ABCpy package
  ☆117Updated 3 weeks ago
• EliseJ / astroABC
  Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.
  ☆39Updated 5 years ago
• eigenfoo / littlemcmc
  A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
  ☆59Updated last year
• justinalsing / pydelfi
  Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations
  ☆111Updated 2 years ago
• dflemin3 / approxposterior
  A Python package for approximate Bayesian inference and optimization using Gaussian processes
  ☆43Updated 2 years ago
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆128Updated last year
• elfi-dev / elfi
  ELFI - Engine for Likelihood-Free Inference
  ☆281Updated 9 months ago
• dfm / george
  Fast and flexible Gaussian Process regression in Python
  ☆459Updated last month
• rmcgibbo / pyhmc
  Hamiltonain Monte Carlo in Python
  ☆40Updated 6 years ago
• undark-lab / swyft
  A system for scientific simulation-based inference at scale.
  ☆165Updated last year
• jakeret / abcpmc
  Approximate Bayesian Computation Population Monte Carlo
  ☆41Updated 5 years ago
• sbi-dev / pyknos
  Conditional density estimation with neural networks
  ☆35Updated last year
• montefiore-institute / hypothesis
  A Python toolkit for (simulation-based) inference and the mechanization of science.
  ☆53Updated 3 years ago
• mattja / sdeint
  Numerical integration of Ito or Stratonovich SDEs
  ☆169Updated 2 years ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆105Updated 2 years ago
• dfm / celerite
  Scalable 1D Gaussian Processes in C++, Python, and Julia
  ☆191Updated last month
• wesselb / stheno
  Gaussian process modelling in Python
  ☆225Updated last year
• jfcrenshaw / pzflow
  Probabilistic modeling of tabular data with normalizing flows.
  ☆58Updated 3 weeks ago
• Joshuaalbert / jaxns
  Probabilistic Programming and Nested sampling in JAX
  ☆219Updated last month
• chi-feng / gp-demo
  Gaussian Process Regression Interactive Javascript Demo
  ☆58Updated 7 years ago
• jamesrobertlloyd / gp-structure-search
  ☆244Updated 8 years ago
• OxfordML / GPz
  GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data
  ☆49Updated 4 years ago
• pmelchior / pygmmis
  Gaussian mixture model for incomplete (missing or truncated) and noisy data
  ☆104Updated 3 years ago
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆108Updated last year
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆71Updated last year