Alternatives and similar repositories for sunode:

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

• aesara-devs / aemcmc
  AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
  ☆39Updated last year
• eigenfoo / littlemcmc
  A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.
  ☆53Updated 5 months ago
• pymc-devs / nutpie
  Python wrapper for nuts-rs
  ☆131Updated this week
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆99Updated last year
• aesara-devs / aeppl
  Tools for an Aesara-based PPL.
  ☆64Updated 2 months ago
• minaskar / zeus
  ⚡️ zeus: Lightning Fast MCMC ⚡️
  ☆228Updated 10 months ago
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆194Updated last month
• wesselb / lab
  A generic interface for linear algebra backends
  ☆71Updated 6 months ago
• Joshuaalbert / jaxns
  Probabilistic Programming and Nested sampling in JAX
  ☆161Updated last month
• pymc-devs / pymc-extras
  Powerful add-ons for PyMC
  ☆89Updated this week
• ColCarroll / minimc
  Just a little MCMC
  ☆218Updated 6 months ago
• arviz-devs / preliz
  Exploring and eliciting probability distributions
  ☆101Updated this week
• eth-cscs / abcpy
  ABCpy package
  ☆113Updated 8 months ago
• pints-team / pints
  Probabilistic Inference on Noisy Time Series
  ☆230Updated last week
• dfm / tinygp
  The tiniest of Gaussian Process libraries
  ☆300Updated last week
• AaltoML / BayesNewton
  Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
  ☆232Updated last year
• JuBiotech / calibr8
  Toolbox for non-linear calibration modeling.
  ☆24Updated last month
• SamDuffield / mocat
  All things Monte Carlo, written in JAX.
  ☆30Updated last year
• matt-graham / mici
  Manifold Markov chain Monte Carlo methods in Python
  ☆225Updated 2 months ago
• neurophysik / jitcode
  Just-in-Time Compilation for Ordinary Differential Equations
  ☆63Updated 2 weeks ago
• montefiore-institute / hypothesis
  A Python toolkit for (simulation-based) inference and the mechanization of science.
  ☆52Updated 2 years ago
• andgoldschmidt / derivative
  Optimal numerical differentiation of noisy time series data in python.
  ☆58Updated 4 months ago
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆44Updated last year
• alonfnt / bayex
  Minimal Implementation of Bayesian Optimization in JAX
  ☆88Updated last week
• IvanYashchuk / fenics-pymc3
  Differentiable interface to FEniCS for PyMC3
  ☆20Updated 2 years ago
• chi-feng / gp-demo
  Gaussian Process Regression Interactive Javascript Demo
  ☆54Updated 6 years ago
• pymc-devs / mcbackend
  A backend for storing MCMC draws.
  ☆14Updated last month
• asuagar / statrethink-course-numpyro-2019
  Statistical Rethinking: A Bayesian Course Using Python and NumPyro
  ☆88Updated 3 years ago
• ICB-DCM / pyABC
  distributed, likelihood-free inference
  ☆207Updated 2 months ago
• HDembinski / numba-stats
  Numba-accelerated statistical distributions
  ☆55Updated this week