Alternatives and similar repositories for sunode

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

• pints-team / pints
  Probabilistic Inference on Noisy Time Series
  ☆240Updated 2 months ago
• eigenfoo / littlemcmc
  A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
  ☆59Updated last year
• ICB-DCM / pyABC
  distributed, likelihood-free inference
  ☆216Updated 3 weeks ago
• aesara-devs / aemcmc
  AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
  ☆39Updated 2 years ago
• asuagar / statrethink-course-numpyro-2019
  Statistical Rethinking: A Bayesian Course Using Python and NumPyro
  ☆90Updated 4 years ago
• JuBiotech / calibr8
  Toolbox for non-linear calibration modeling.
  ☆28Updated 3 weeks ago
• scikit-hep / numba-stats
  Numba-accelerated statistical distributions
  ☆65Updated 2 weeks ago
• chi-feng / gp-demo
  Gaussian Process Regression Interactive Javascript Demo
  ☆57Updated 7 years ago
• dfm / tinygp
  The tiniest of Gaussian Process libraries
  ☆327Updated 2 weeks ago
• Gabriel-p / pythonMCMC
  A list of Python-based MCMC & ABC packages
  ☆123Updated 6 months ago
• pymc-devs / nutpie
  Python wrapper for nuts-rs
  ☆181Updated last week
• equadratures / equadratures
  ☆100Updated 2 months ago
• andgoldschmidt / derivative
  Optimal numerical differentiation of noisy time series data in python.
  ☆66Updated last week
• wesselb / stheno
  Gaussian process modelling in Python
  ☆226Updated last year
• LRydin / KramersMoyal
  kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
  ☆75Updated 11 months ago
• pymc-devs / mcbackend
  A backend for storing MCMC draws.
  ☆21Updated 2 weeks ago
• IvanYashchuk / fenics-pymc3
  Differentiable interface to FEniCS for PyMC3
  ☆22Updated 3 years ago
• minaskar / zeus
  ⚡️ zeus: Lightning Fast MCMC ⚡️
  ☆241Updated last year
• neurophysik / jitcode
  Just-in-Time Compilation for Ordinary Differential Equations
  ☆68Updated 5 months ago
• matt-graham / mici
  Manifold Markov chain Monte Carlo methods in Python
  ☆237Updated last week
• Joshuaalbert / jaxns
  Probabilistic Programming and Nested sampling in JAX
  ☆213Updated last month
• aesara-devs / aeppl
  Tools for an Aesara-based PPL.
  ☆67Updated last year
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆459Updated 5 months ago
• JonathanWenger / itergp
  IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
  ☆43Updated 2 years ago
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆232Updated 7 months ago
• arviz-devs / preliz
  Exploring and eliciting probability distributions
  ☆161Updated 2 weeks ago
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆127Updated last year
• mfouesneau / NUTS
  python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011
  ☆132Updated 5 years ago
• ICB-DCM / pyPESTO
  python Parameter EStimation TOolbox
  ☆264Updated this week
• montefiore-institute / hypothesis
  A Python toolkit for (simulation-based) inference and the mechanization of science.
  ☆53Updated 3 years ago