Alternatives and similar repositories for pyhmc

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

• mfouesneau / NUTS
  python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011
  ☆132Updated 5 years ago
• EliseJ / astroABC
  Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.
  ☆39Updated 5 years ago
• Gabriel-p / pythonMCMC
  A list of Python-based MCMC & ABC packages
  ☆123Updated 6 months ago
• matt-graham / mici
  Manifold Markov chain Monte Carlo methods in Python
  ☆237Updated 2 weeks ago
• dflemin3 / approxposterior
  A Python package for approximate Bayesian inference and optimization using Gaussian processes
  ☆42Updated 2 years ago
• eth-cscs / abcpy
  ABCpy package
  ☆116Updated last year
• eigenfoo / littlemcmc
  A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
  ☆59Updated last year
• IvanYashchuk / fenics-pymc3
  Differentiable interface to FEniCS for PyMC3
  ☆22Updated 3 years ago
• chi-feng / gp-demo
  Gaussian Process Regression Interactive Javascript Demo
  ☆57Updated 7 years ago
• montefiore-institute / hypothesis
  A Python toolkit for (simulation-based) inference and the mechanization of science.
  ☆53Updated 3 years ago
• minaskar / zeus
  ⚡️ zeus: Lightning Fast MCMC ⚡️
  ☆241Updated last year
• pints-team / pints
  Probabilistic Inference on Noisy Time Series
  ☆239Updated 2 months ago
• pypmc / pypmc
  Clustering with variational Bayes and population Monte Carlo
  ☆51Updated last month
• mattja / nsim
  Large scale simulation of ODEs or SDEs, analyze time series.
  ☆25Updated 6 years ago
• sbi-dev / pyknos
  Conditional density estimation with neural networks
  ☆35Updated 10 months ago
• bayesiains / density-deconvolution
  Code for the Density Deconvolution with Normalizing Flows paper.
  ☆12Updated 5 years ago
• grinsted / gwmcmc
  An implementation of the Goodman & Weare MCMC sampler for matlab
  ☆52Updated 7 years ago
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆68Updated 10 months ago
• lzkelley / kalepy
  Kernel Density Estimation and (re)sampling
  ☆63Updated 2 years ago
• ColCarroll / minimc
  Just a little MCMC
  ☆233Updated last year
• karlnapf / kernel_hmc
  Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"
  ☆26Updated 7 years ago
• thangbui / geepee
  A collection of Gaussian process models
  ☆30Updated 8 years ago
• duvenaud / harlemcmc-shake
  Code to produce demos of Metroplis-Hastings and Hamiltonian Monte Carlo samplers.
  ☆36Updated 11 years ago
• b45ch1 / algopy
  AlgoPy is a Research Prototype for Algorithmic Differentation in Python
  ☆88Updated last year
• florent-leclercq / Bayes_InfoTheory
  Lectures on Bayesian statistics and information theory
  ☆31Updated 6 months ago
• dfm / celerite
  Scalable 1D Gaussian Processes in C++, Python, and Julia
  ☆190Updated last week
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆127Updated last year
• erichson / DMDpack
  Dynamic Mode Decomposition
  ☆61Updated 8 years ago
• PredictiveScienceLab / py-mcmc
  A simple MCMC framework for training Gaussian processes adding functionality to GPy.
  ☆20Updated 11 years ago
• jakeret / abcpmc
  Approximate Bayesian Computation Population Monte Carlo
  ☆41Updated 5 years ago