Alternatives and similar repositories for BayesNewton

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

• AaltoML / kalman-jax
  Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
  ☆100Updated 2 years ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆105Updated last year
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆127Updated 11 months ago
• wesselb / stheno
  Gaussian process modelling in Python
  ☆223Updated 9 months ago
• JaxGaussianProcesses / GPJax
  Gaussian processes in JAX and Flax.
  ☆539Updated last week
• probml / sts-jax
  Structural Time Series in JAX
  ☆200Updated last year
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆73Updated 4 years ago
• nchopin / particles
  Sequential Monte Carlo in python
  ☆466Updated 2 weeks ago
• TyXe-BDL / TyXe
  ☆154Updated 3 years ago
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆222Updated 5 months ago
• dfm / tinygp
  The tiniest of Gaussian Process libraries
  ☆317Updated last month
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆77Updated this week
• jax-ml / oryx
  Oryx is a library for probabilistic programming and deep learning built on top of Jax.
  ☆277Updated last week
• wesselb / lab
  A generic interface for linear algebra backends
  ☆73Updated 7 months ago
• FalkonML / falkon
  Large-scale, multi-GPU capable, kernel solver
  ☆191Updated 2 months ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆115Updated 6 months ago
• JTT94 / filterflow
  Extensible Tensorflow library for differentiable particle filtering. ICML 2021.
  ☆42Updated 2 years ago
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆458Updated 3 months ago
• matt-graham / mici
  Manifold Markov chain Monte Carlo methods in Python
  ☆233Updated 3 weeks ago
• alonfnt / bayex
  Minimal Implementation of Bayesian Optimization in JAX
  ☆97Updated 5 months ago
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆102Updated 8 months ago
• ColCarroll / minimc
  Just a little MCMC
  ☆231Updated last year
• wjmaddox / online_gp
  Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"
  ☆64Updated 4 years ago
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆131Updated last year
• markvdw / RobustGP
  Robust initialisation of inducing points in sparse variational GP regression models.
  ☆33Updated 2 years ago
• probml / rebayes
  Recursive Bayesian Estimation (Sequential / Online Inference)
  ☆59Updated last year
• danielward27 / flowjax
  ☆189Updated last month
• amzn / orthogonal-additive-gaussian-processes
  Light-weighted code for Orthogonal Additive Gaussian Processes
  ☆43Updated last year
• acerbilab / pyvbmc
  PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
  ☆121Updated 8 months ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆84Updated last year