Alternatives and similar repositories for gp_model_zoo

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

• alan-turing-institute / mogp-emulator
  Package for fitting Gaussian Process Emulators to multiple output computer simulation results.
  ☆53Updated 2 years ago
• wesselb / neuralprocesses
  A framework for composing Neural Processes in Python
  ☆89Updated last year
• stefanosele / GPfY
  Gaussian processes with spherical harmonic features in JAX
  ☆15Updated 4 months ago
• AaltoML / spatio-temporal-GPs
  Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'
  ☆47Updated 4 years ago
• GaussianProcessesCambridge / meetup-resources
  Collection of resources from each meetup event
  ☆13Updated 5 years ago
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆127Updated last year
• jejjohnson / uncertain_gps
  Exploring how to to deal with uncertain inputs with gaussian process regression models.
  ☆27Updated 4 years ago
• wesselb / stheno
  Gaussian process modelling in Python
  ☆226Updated last year
• 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
• jmaronas / TGP.pytorch
  Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021
  ☆25Updated 3 years ago
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆69Updated last year
• mingdeyu / DGP
  Python package 'dgpsi' for deep and linked Gaussian process emulations
  ☆28Updated last month
• secondmind-labs / markovflow
  A Tensorflow based library for Time Series Modelling with Gaussian Processes
  ☆32Updated last year
• AaltoML / kalman-jax
  Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
  ☆103Updated 2 years ago
• amzn / orthogonal-additive-gaussian-processes
  Light-weighted code for Orthogonal Additive Gaussian Processes
  ☆43Updated last year
• dirmeier / ramsey
  Probabilistic deep learning using JAX
  ☆15Updated 11 months ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago
• GAMES-UChile / mogptk
  Multi-Output Gaussian Process Toolkit
  ☆183Updated 7 months ago
• TyXe-BDL / TyXe
  ☆155Updated 3 years ago
• vr308 / Generalised-Gaussian-Processes
  Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods
  ☆22Updated 2 years ago
• frazane / scoringrules
  Lightweight library for probabilistic forecast evaluation and optimization.
  ☆68Updated this week
• ssm-jax / ssm-book
  Interactive textbook on state space models
  ☆12Updated 3 years ago
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆74Updated 5 years ago
• xwshen51 / engression
  Software implementations of engression by Shen and Meinshausen (2023)
  ☆41Updated last week
• alan-turing-institute / autoemulate
  Emulate simulations easily
  ☆106Updated this week
• bgroenks96 / normalizing-flows
  Implementations of normalizing flows using python and tensorflow
  ☆24Updated last year
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆105Updated 2 years ago
• scikit-learn-contrib / bde
  Bayesian Deep Ensembles via MILE: easy to use, scikit-learn compatible and fast (JAX powered)
  ☆25Updated last month
• montefiore-institute / hypothesis
  A Python toolkit for (simulation-based) inference and the mechanization of science.
  ☆53Updated 3 years ago
• wesselb / lab
  A generic interface for linear algebra backends
  ☆76Updated 2 months ago