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
  ☆99Updated last year
• wesselb / stheno
  Gaussian process modelling in Python
  ☆223Updated 5 months ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆103Updated last year
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆125Updated 7 months ago
• JaxGaussianProcesses / GPJax
  Gaussian processes in JAX and Flax.
  ☆515Updated 2 weeks ago
• probml / sts-jax
  Structural Time Series in JAX
  ☆191Updated last year
• TyXe-BDL / TyXe
  ☆153Updated 2 years ago
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆218Updated last month
• dfm / tinygp
  The tiniest of Gaussian Process libraries
  ☆307Updated 3 weeks ago
• jax-ml / oryx
  Oryx is a library for probabilistic programming and deep learning built on top of Jax.
  ☆261Updated this week
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆72Updated 4 years ago
• wesselb / lab
  A generic interface for linear algebra backends
  ☆73Updated 3 months ago
• ColCarroll / minimc
  Just a little MCMC
  ☆227Updated 11 months ago
• danielward27 / flowjax
  ☆161Updated 3 weeks ago
• probml / rebayes
  Recursive Bayesian Estimation (Sequential / Online Inference)
  ☆58Updated last year
• JTT94 / filterflow
  Extensible Tensorflow library for differentiable particle filtering. ICML 2021.
  ☆42Updated 2 years ago
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆449Updated last year
• blackjax-devs / sampling-book
  Tutorials and sampling algorithm comparisons
  ☆75Updated this week
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆66Updated 4 months ago
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆97Updated 4 months ago
• matt-graham / mici
  Manifold Markov chain Monte Carlo methods in Python
  ☆230Updated last week
• xwinxu / bayeSDE
  Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
  ☆170Updated 3 years ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆110Updated 2 months ago
• patrick-kidger / optimistix
  Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
  ☆423Updated last week
• google / tree-math
  Mathematical operations for JAX pytrees
  ☆198Updated 6 months ago
• jejjohnson / gp_model_zoo
  Literature and light wrappers for gaussian process models.
  ☆46Updated 3 years ago
• rlouf / mcx
  Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.
  ☆330Updated last year
• secondmind-labs / markovflow
  A Tensorflow based library for Time Series Modelling with Gaussian Processes
  ☆32Updated 11 months ago
• alonfnt / bayex
  Minimal Implementation of Bayesian Optimization in JAX
  ☆95Updated last month
• pyro-ppl / funsor
  Functional tensors for probabilistic programming
  ☆241Updated last year