Alternatives and similar repositories for GPJax

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

• patrick-kidger / optimistix
  Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
  ☆476Updated last week
• blackjax-devs / blackjax
  BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
  ☆960Updated last week
• danielward27 / flowjax
  ☆192Updated this week
• patrick-kidger / lineax
  Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
  ☆481Updated 2 months ago
• jax-ml / oryx
  Oryx is a library for probabilistic programming and deep learning built on top of Jax.
  ☆280Updated 2 weeks ago
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆226Updated 5 months 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.
  ☆239Updated last year
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆115Updated 3 weeks ago
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆458Updated 3 months ago
• probml / dynamax
  A Python package for probabilistic state space modeling with JAX
  ☆875Updated 3 months ago
• google-deepmind / distrax
  ☆599Updated last week
• google / jaxopt
  Hardware accelerated, batchable and differentiable optimizers in JAX.
  ☆999Updated 2 weeks ago
• patrick-kidger / sympy2jax
  Turn SymPy expressions into trainable JAX expressions.
  ☆351Updated 6 months ago
• secondmind-labs / trieste
  A Bayesian optimization toolbox built on TensorFlow
  ☆240Updated 2 weeks ago
• kazewong / flowMC
  Normalizing-flow enhanced sampling package for probabilistic inference in Jax
  ☆251Updated 2 months ago
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
  ☆662Updated this week
• alonfnt / bayex
  Minimal Implementation of Bayesian Optimization in JAX
  ☆97Updated 6 months ago
• jeremiecoullon / jax-tqdm
  Add a tqdm progress bar to your JAX scans and loops.
  ☆117Updated 5 months ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆105Updated 2 years ago
• f0uriest / interpax
  Interpolation and function approximation with JAX
  ☆225Updated last week
• wilson-labs / cola
  Compositional Linear Algebra
  ☆489Updated 2 months ago
• probml / sts-jax
  Structural Time Series in JAX
  ☆200Updated last year
• google-deepmind / kfac-jax
  Second Order Optimization and Curvature Estimation with K-FAC in JAX.
  ☆293Updated last week
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆127Updated last year
• Joshuaalbert / jaxns
  Probabilistic Programming and Nested sampling in JAX
  ☆209Updated 2 months ago
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆131Updated last year
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆374Updated 2 weeks ago
• sbi-dev / sbi
  sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…
  ☆740Updated last week
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆141Updated last month
• mpi4jax / mpi4jax
  Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python
  ☆496Updated last week