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
  ☆112Updated 11 months ago
• ColCarroll / minimc
  Just a little MCMC
  ☆226Updated 10 months ago
• minaskar / zeus
  ⚡️ zeus: Lightning Fast MCMC ⚡️
  ☆235Updated last year
• ICB-DCM / pyABC
  distributed, likelihood-free inference
  ☆214Updated 6 months ago
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆448Updated last year
• jonathf / chaospy
  Chaospy - Toolbox for performing uncertainty quantification.
  ☆459Updated last month
• mattja / sdeint
  Numerical integration of Ito or Stratonovich SDEs
  ☆167Updated 2 years ago
• eth-cscs / abcpy
  ABCpy package
  ☆114Updated 11 months ago
• simetenn / uncertainpy
  Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
  ☆230Updated 2 years ago
• Gabriel-p / pythonMCMC
  A list of Python-based MCMC & ABC packages
  ☆123Updated 11 months ago
• matt-graham / mici
  Manifold Markov chain Monte Carlo methods in Python
  ☆230Updated last week
• LRydin / KramersMoyal
  kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
  ☆72Updated 4 months ago
• wesselb / stheno
  Gaussian process modelling in Python
  ☆223Updated 4 months ago
• JaxGaussianProcesses / GPJax
  Gaussian processes in JAX and Flax.
  ☆505Updated 3 weeks ago
• mfouesneau / NUTS
  python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011
  ☆129Updated 4 years ago
• eigenfoo / littlemcmc
  A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
  ☆56Updated 9 months ago
• prmiles / pymcmcstat
  Python implementation of MATLAB toolbox "mcmcstat"
  ☆71Updated 2 years ago
• dfm / tinygp
  The tiniest of Gaussian Process libraries
  ☆307Updated 3 weeks ago
• numericalalgorithmsgroup / pybobyqa
  Python-based Derivative-Free Optimization with Bound Constraints
  ☆80Updated 7 months ago
• asuagar / statrethink-course-numpyro-2019
  Statistical Rethinking: A Bayesian Course Using Python and NumPyro
  ☆90Updated 4 years ago
• ICB-DCM / pyPESTO
  python Parameter EStimation TOolbox
  ☆241Updated last week
• pbrod / numdifftools
  Solve automatic numerical differentiation problems in one or more variables.
  ☆264Updated last year
• florisvb / PyNumDiff
  Methods for numerical differentiation of noisy data in python
  ☆114Updated 2 months ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆103Updated last year
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆125Updated 6 months 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.
  ☆231Updated last year
• secondmind-labs / trieste
  A Bayesian optimization toolbox built on TensorFlow
  ☆229Updated last week
• elfi-dev / elfi
  ELFI - Engine for Likelihood-Free Inference
  ☆274Updated 9 months ago
• SciML / diffeqpy
  Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
  ☆564Updated 3 months ago
• andgoldschmidt / derivative
  Optimal numerical differentiation of noisy time series data in python.
  ☆62Updated last month