Alternatives and similar repositories for ramsey

Users that are interested in ramsey 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 2 years ago
• martiningram / jax_advi
  ☆16Updated 7 months ago
• jejjohnson / gp_model_zoo
  Literature and light wrappers for gaussian process models.
  ☆47Updated 4 years ago
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆78Updated this week
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆228Updated 6 months ago
• ssm-jax / ssm-book
  Interactive textbook on state space models
  ☆12Updated 3 years ago
• stefanosele / GPfY
  Gaussian processes with spherical harmonic features in JAX
  ☆15Updated 2 months ago
• wesselb / lab
  A generic interface for linear algebra backends
  ☆75Updated 2 weeks ago
• wesselb / neuralprocesses
  A framework for composing Neural Processes in Python
  ☆88Updated 10 months ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆105Updated 2 years ago
• geraschenko / gmrfs
  Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)
  ☆22Updated last year
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago
• aesara-devs / aehmc
  An HMC/NUTS implementation in Aesara
  ☆31Updated 2 years ago
• bob-carpenter / walnuts
  Step size adaptation for the No-U-Turn Sampler
  ☆26Updated this week
• justindomke / pangolin
  probabilistic programming focused on fun
  ☆43Updated 2 weeks ago
• NeilGirdhar / efax
  Exponential families for JAX
  ☆75Updated 2 weeks ago
• aesara-devs / aeppl
  Tools for an Aesara-based PPL.
  ☆67Updated last year
• pnkraemer / probfindiff
  Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…
  ☆11Updated 2 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
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆46Updated last year
• wesselb / mlkernels
  Kernels, the machine learning ones
  ☆14Updated 2 years ago
• rlouf / aex
  Sampling with Blackjax on Aesara
  ☆11Updated 2 years ago
• cgarciae / simple-pytree
  A dead simple Python package for creating custom JAX pytree objects
  ☆65Updated last year
• probml / sts-jax
  Structural Time Series in JAX
  ☆200Updated last year
• SamDuffield / mocat
  All things Monte Carlo, written in JAX.
  ☆32Updated 2 years ago
• wesselb / stheno
  Gaussian process modelling in Python
  ☆225Updated 11 months ago
• AaltoML / spatio-temporal-GPs
  Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'
  ☆47Updated 4 years 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.
  ☆240Updated last year
• vr308 / Generalised-Gaussian-Processes
  Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods
  ☆22Updated 2 years ago
• AaltoML / kalman-jax
  Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
  ☆102Updated 2 years ago