Alternatives and similar repositories for gmrfs:

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

• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆72Updated this week
• rlouf / aex
  Sampling with Blackjax on Aesara
  ☆11Updated 2 years ago
• wesselb / lab
  A generic interface for linear algebra backends
  ☆73Updated last month
• elizavetasemenova / prob-epi
  Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"
  ☆61Updated last month
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆204Updated 3 months ago
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆30Updated last year
• martiningram / jax_advi
  ☆15Updated 3 years ago
• MLGlobalHealth / pi-vae
  Code for utilising VAE as means of doing exact MCMC inference in complex high-dimensional space
  ☆14Updated last year
• bob-carpenter / adaptive-hmc
  Self-tuning HMC algorithms and evaluations
  ☆18Updated 5 months ago
• elizavetasemenova / PriorVAE
  Code of PriorVAE: encoding spatial priors with variational autoencoders
  ☆12Updated last year
• cambridge-mlg / sgd-gp
  Public code for running Stochastic Gradient Descent on GPs.
  ☆36Updated 5 months ago
• pnkraemer / probdiffeq
  Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…
  ☆44Updated this week
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆44Updated last year
• 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 8 months ago
• danielward27 / flowjax
  ☆152Updated 3 weeks ago
• JonathanWenger / itergp
  IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
  ☆40Updated last year
• probabilistic-numerics / probnum-spring-school
  Tutorial materials of the Probabilistic Numerics Spring School.
  ☆34Updated last year
• justindomke / pangolin
  probabilistic programming focused on fun
  ☆40Updated 5 months ago
• onnela-lab / gptools
  Gaussian processes on graphs and lattices in Stan.
  ☆16Updated 2 weeks ago
• lockwo / distreqx
  Distrax, but in equinox. Lightweight JAX library of probability distributions and bijectors.
  ☆25Updated last month
• ssm-jax / ssm-book
  Interactive textbook on state space models
  ☆12Updated 2 years ago
• aesara-devs / aemcmc
  AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
  ☆39Updated last year
• 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 3 months ago
• EEA-sensors / parallel-gps
  GPFlow based implementation of temporal parallellization of state space GPs
  ☆15Updated 2 years ago
• jhuggins / viabel
  Efficient, lightweight variational inference and approximation bounds
  ☆43Updated last year
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆102Updated last year
• modichirag / GSM-VI
  Code for Gaussian Score Matching Variational Inference
  ☆33Updated last month
• JiaYaobo / fenbux
  A Simple Statistical Distribution Library in JAX
  ☆16Updated last year
• jejjohnson / gp_model_zoo
  Literature and light wrappers for gaussian process models.
  ☆45Updated 3 years ago