Alternatives and similar repositories for sarkka-jax

Users that are interested in sarkka-jax are comparing it to the libraries listed below

• EEA-sensors / sqrt-parallel-smoothers
  A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…
  ☆12Updated last year
• lindermanlab / ssm-jax
  Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
  ☆61Updated last year
• wesselb / lab
  A generic interface for linear algebra backends
  ☆75Updated last month
• danielward27 / paramax
  A small library of paramaterizations and parameter constraints for PyTrees.
  ☆48Updated 8 months ago
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆33Updated 2 years ago
• NeilGirdhar / efax
  Exponential families for JAX
  ☆75Updated last week
• spdes / chirpgp
  Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes
  ☆13Updated last year
• pnkraemer / probdiffeq
  Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…
  ☆53Updated last month
• acerbilab / pyvbmc
  PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
  ☆123Updated last week
• JonathanWenger / itergp
  IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
  ☆43Updated 2 years ago
• ylefay / bayesianSDEsolver
  Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.
  ☆10Updated 11 months ago
• justindomke / pangolin
  probabilistic programming focused on fun
  ☆49Updated this week
• bayesflow-org / awesome-amortized-inference
  This is a community-driven collection of resources around amortized inference.
  ☆56Updated last year
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆231Updated this 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.
  ☆241Updated 2 years ago
• alonfnt / bayex
  Minimal Implementation of Bayesian Optimization in JAX
  ☆101Updated 8 months ago
• acerbilab / pybads
  PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python
  ☆82Updated 2 months ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆105Updated 2 years ago
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆68Updated 11 months ago
• mlcolab / sbi-workshop
  SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory
  ☆23Updated 2 years ago
• marineschimel / ilqr_vae
  ☆12Updated 3 years ago
• pnkraemer / tornadox
  Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…
  ☆21Updated last year
• bob-carpenter / adaptive-hmc
  Self-tuning HMC algorithms and evaluations
  ☆19Updated last year
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆108Updated 11 months ago
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆153Updated last month
• dirmeier / sbijax
  Simulation-based inference in JAX
  ☆42Updated last month
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆79Updated this week
• danielward27 / flowjax
  ☆205Updated 2 months ago
• NeilGirdhar / tjax
  Tools for JAX
  ☆49Updated 2 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