Alternatives and similar repositories for gpax

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

• ziatdinovmax / NeuroBayes
  Fully and Partially Bayesian Neural Nets
  ☆77Updated 6 months ago
• SergeiVKalinin / UTK-Spring-2023---Automated-Experiment
  Spring 2023 seminar on automated experiment
  ☆23Updated 2 years ago
• ziatdinovmax / AugmentedGaussianProcess
  Gaussian process augmented with a probabilistic model of expected system's behavior
  ☆15Updated 3 years ago
• saimani5 / VAE-tutorials
  ☆41Updated 2 years ago
• secondmind-labs / trieste
  A Bayesian optimization toolbox built on TensorFlow
  ☆241Updated last month
• thomaspinder / GPJax
  Gaussian processes in JAX and Flax.
  ☆551Updated last week
• ma921 / SOBER
  Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration
  ☆29Updated 3 months ago
• experimental-design / bofire
  Experimental design and (multi-objective) bayesian optimization.
  ☆331Updated last week
• ma921 / BASQ
  (NeurIPS 2022) Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination
  ☆19Updated 2 years ago
• kazewong / flowMC
  Normalizing-flow enhanced sampling package for probabilistic inference in Jax
  ☆252Updated 3 weeks ago
• dfm / tinygp
  The tiniest of Gaussian Process libraries
  ☆327Updated last week
• f0uriest / interpax
  Interpolation and function approximation with JAX
  ☆230Updated last week
• LRydin / KramersMoyal
  kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
  ☆75Updated 10 months ago
• SergeiVKalinin / MSE_Spring2024
  The materials for the Spring Mathematics in Materials course at the UTK MSE
  ☆49Updated last year
• lbl-camera / fvGP
  A software package for flexible HPC GPs
  ☆16Updated last month
• danielward27 / flowjax
  ☆198Updated 3 weeks ago
• tummfm / jax-sgmc
  Stochastic Gradient MCMC for Jax
  ☆16Updated 6 months ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆116Updated 2 weeks ago
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆459Updated 4 months ago
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆149Updated 2 weeks ago
• ESMS-Group-Public / FoKL-GPy
  FoKL-GP implements Karhunen-Loève decomposed Gaussian processes with built-in forward variable selection. Decomposed GPs are key to embed…
  ☆18Updated last month
• ziatdinovmax / pyroVED
  Invariant representation learning from imaging and spectral data
  ☆53Updated last year
• alonfnt / bayex
  Minimal Implementation of Bayesian Optimization in JAX
  ☆100Updated 6 months ago
• parmoo / parmoo
  Python library for parallel multiobjective simulation optimization
  ☆83Updated this 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
  ☆211Updated this week
• google-deepmind / flows_for_atomic_solids
  ☆53Updated 3 years ago
• patrick-kidger / optimistix
  Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
  ☆492Updated 2 weeks ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆105Updated 2 years ago
• zavalab / Tutorials
  ☆27Updated 9 months ago