Alternatives and similar repositories for pints

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

• pymc-devs / sunode
  Solve ODEs fast, with support for PyMC
  ☆117Updated last year
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆455Updated 6 months ago
• ColCarroll / minimc
  Just a little MCMC
  ☆235Updated last year
• wesselb / stheno
  Gaussian process modelling in Python
  ☆226Updated last year
• matt-graham / mici
  Manifold Markov chain Monte Carlo methods in Python
  ☆236Updated last month
• minaskar / zeus
  ⚡️ zeus: Lightning Fast MCMC ⚡️
  ☆241Updated last year
• Gabriel-p / pythonMCMC
  A list of Python-based MCMC & ABC packages
  ☆123Updated 7 months ago
• ICB-DCM / pyABC
  distributed, likelihood-free inference
  ☆216Updated last month
• mfouesneau / NUTS
  python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011
  ☆131Updated 5 years ago
• eth-cscs / abcpy
  ABCpy package
  ☆117Updated last year
• LRydin / KramersMoyal
  kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
  ☆75Updated last year
• jonathf / chaospy
  Chaospy - Toolbox for performing uncertainty quantification.
  ☆468Updated 4 months ago
• mattja / sdeint
  Numerical integration of Ito or Stratonovich SDEs
  ☆169Updated 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
• simetenn / uncertainpy
  Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
  ☆231Updated 3 years ago
• dfm / tinygp
  The tiniest of Gaussian Process libraries
  ☆328Updated 3 weeks ago
• numericalalgorithmsgroup / pybobyqa
  Python-based Derivative-Free Optimization with Bound Constraints
  ☆91Updated last month
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆128Updated last year
• chi-feng / gp-demo
  Gaussian Process Regression Interactive Javascript Demo
  ☆57Updated 7 years ago
• asuagar / statrethink-course-numpyro-2019
  Statistical Rethinking: A Bayesian Course Using Python and NumPyro
  ☆90Updated 4 years ago
• elfi-dev / elfi
  ELFI - Engine for Likelihood-Free Inference
  ☆280Updated 8 months ago
• pbrod / numdifftools
  Solve automatic numerical differentiation problems in one or more variables.
  ☆277Updated 2 weeks ago
• secondmind-labs / trieste
  A Bayesian optimization toolbox built on TensorFlow
  ☆245Updated last week
• ICB-DCM / pyPESTO
  python Parameter EStimation TOolbox
  ☆266Updated this week
• thomaspinder / GPJax
  Gaussian processes in JAX and Flax.
  ☆576Updated last week
• SciML / diffeqpy
  Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
  ☆591Updated this week
• andim / noisyopt
  Python library for optimizing noisy functions.
  ☆88Updated 3 months ago
• EliseJ / astroABC
  Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.
  ☆39Updated 5 years ago
• AaltoML / BayesNewton
  Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
  ☆241Updated 2 years ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆105Updated 2 years ago