Alternatives and similar repositories for kalman-jax

Users that are interested in kalman-jax are comparing it to the libraries listed below

• 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
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆105Updated 2 years ago
• EEA-sensors / sequential-parallelization-examples
  This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.
  ☆33Updated 2 years ago
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆73Updated 4 years ago
• SymJAX / SymJAX
  Documentation:
  ☆124Updated 2 years ago
• probml / JSL
  Jax SSM Library
  ☆48Updated 2 years ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆85Updated last year
• FalkonML / falkon
  Large-scale, multi-GPU capable, kernel solver
  ☆191Updated 3 months ago
• wesselb / stheno
  Gaussian process modelling in Python
  ☆224Updated 10 months ago
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆127Updated last year
• wjmaddox / online_gp
  Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"
  ☆64Updated 4 years ago
• vicariousinc / PGMax
  Loopy belief propagation for factor graphs on discrete variables, in JAX!
  ☆65Updated last year
• NeilGirdhar / efax
  Exponential families for JAX
  ☆75Updated last week
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 4 years ago
• JTT94 / filterflow
  Extensible Tensorflow library for differentiable particle filtering. ICML 2021.
  ☆42Updated 2 years ago
• NeilGirdhar / tjax
  Tools for JAX
  ☆49Updated last week
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆115Updated 3 weeks ago
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆68Updated 9 months ago
• cgarciae / treeo
  A small library for creating and manipulating custom JAX Pytree classes
  ☆56Updated 2 years ago
• xwinxu / bayeSDE
  Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
  ☆170Updated 3 years ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 3 years ago
• ethanluoyc / dhmc-jax
  Discontinuous Hamiltonian Monte Carlo in JAX
  ☆42Updated 5 years ago
• wesselb / lab
  A generic interface for linear algebra backends
  ☆74Updated 7 months ago
• hegdepashupati / differential-dgp
  Implementation of stochastic variational inference for differentially deep gaussian processes
  ☆15Updated 6 years ago
• EEA-sensors / parallel-non-linear-gaussian-smoothers
  Companion code in JAX for the paper Parallel Iterated Extended and Sigma-Point Kalman Smoothers.
  ☆27Updated last year
• probml / rebayes
  Recursive Bayesian Estimation (Sequential / Online Inference)
  ☆59Updated last year
• matt-graham / mici
  Manifold Markov chain Monte Carlo methods in Python
  ☆234Updated last month
• MilesCranmer / sympy2jax
  Turning SymPy expressions into JAX functions
  ☆45Updated 4 years ago
• JonathanWenger / itergp
  IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
  ☆42Updated 2 years ago
• ColCarroll / minimc
  Just a little MCMC
  ☆232Updated last year