Alternatives and similar repositories for itergp

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

• wesselb / lab
  A generic interface for linear algebra backends
  ☆73Updated 3 months ago
• pnkraemer / probdiffeq
  Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…
  ☆48Updated 2 months ago
• pnkraemer / tornadox
  Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…
  ☆21Updated 10 months ago
• marvinpfoertner / linpde-gp
  Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"
  ☆26Updated last year
• probabilistic-numerics / probnum-spring-school
  Tutorial materials of the Probabilistic Numerics Spring School.
  ☆34Updated 2 years ago
• MilesCranmer / sympy2jax
  Turning SymPy expressions into JAX functions
  ☆45Updated 4 years ago
• ylefay / bayesianSDEsolver
  Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.
  ☆10Updated 3 months ago
• aidanscannell / GPJax
  Minimal Gaussian process library in JAX with a simple (custom) approach to state management.
  ☆12Updated last year
• EEA-sensors / sqrt-parallel-smoothers
  A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…
  ☆12Updated 6 months ago
• wesselb / varz
  Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX
  ☆23Updated 2 years ago
• aterenin / SparseGaussianProcesses.jl
  A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.
  ☆33Updated 4 years ago
• NeilGirdhar / efax
  Exponential families for JAX
  ☆69Updated last week
• pnkraemer / diffeqzoo
  A zoo of implementations of differential equation problems in NumPy and JAX. Oscillators, chemical reactions, n-body problems, epidemiolo…
  ☆15Updated last year
• nathanaelbosch / ProbNumDiffEq.jl
  Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing
  ☆128Updated 3 weeks ago
• AaltoML / kalman-jax
  Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
  ☆99Updated last year
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆119Updated last week
• pnkraemer / probfindiff
  Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…
  ☆11Updated 2 years ago
• danielward27 / paramax
  A small library of paramaterizations and parameter constraints for PyTrees.
  ☆31Updated 3 weeks ago
• flatironinstitute / bayes-kit
  Bayesian inference and posterior analysis for Python
  ☆44Updated last year
• AdrienCorenflos / jax-workshop
  JAX workshop for beginners
  ☆8Updated 5 months ago
• SamDuffield / mocat
  All things Monte Carlo, written in JAX.
  ☆31Updated 2 years ago
• geraschenko / gmrfs
  Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)
  ☆22Updated last year
• probml / JSL
  Jax SSM Library
  ☆48Updated 2 years ago
• petergchang / sarkka-jax
  ☆11Updated 2 years ago
• alonfnt / bayex
  Minimal Implementation of Bayesian Optimization in JAX
  ☆95Updated last month
• cambridge-mlg / sgd-gp
  Public code for running Stochastic Gradient Descent on GPs.
  ☆38Updated last month
• NeilGirdhar / tjax
  Tools for JAX
  ☆47Updated this week
• EEA-sensors / parallel-non-linear-gaussian-smoothers
  Companion code in JAX for the paper Parallel Iterated Extended and Sigma-Point Kalman Smoothers.
  ☆27Updated 9 months ago
• stefanosele / GPfY
  Gaussian processes with spherical harmonic features in JAX
  ☆15Updated last year