Alternatives and similar repositories for laplax:

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

• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆113Updated 3 weeks ago
• probabilistic-numerics / probnum-spring-school
  Tutorial materials of the Probabilistic Numerics Spring School.
  ☆34Updated last year
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆100Updated this week
• andres-fr / skerch
  Sketched matrix decompositions for PyTorch
  ☆69Updated this week
• marvinpfoertner / linpde-gp
  Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"
  ☆25Updated 9 months ago
• ComputationalEvolutionaryMorphometry / jaxgeometry
  ☆11Updated 4 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…
  ☆20Updated 6 months ago
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆122Updated 5 months ago
• modichirag / GSM-VI
  Code for Gaussian Score Matching Variational Inference
  ☆30Updated 3 months ago
• pnkraemer / probdiffeq
  Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…
  ☆38Updated 3 months ago
• wesselb / lab
  A generic interface for linear algebra backends
  ☆71Updated 7 months ago
• danielward27 / flowjax
  ☆134Updated last month
• 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 last month
• dirmeier / sbijax
  Simulation-based inference in JAX
  ☆29Updated last week
• team-approx-bayes / ivon
  IVON optimizer for neural networks based on variational learning.
  ☆58Updated 2 months ago
• f0uriest / quadax
  Numerical quadrature with JAX
  ☆50Updated this week
• EddieCunningham / generax
  Generative models with JAX.
  ☆17Updated 3 weeks ago
• JakobRobnik / MicroCanonicalHMC
  MCHMC: sampler from an arbitrary differentiable distribution
  ☆72Updated this week
• francois-rozet / diffusion-priors
  Learning Diffusion Priors from Observations by Expectation Maximization
  ☆20Updated 2 months ago
• mackelab / simformer
  Combination of transformers and diffusion models for flexible all-in-one simulation-based inference
  ☆56Updated 7 months ago
• aai-institute / continuiti
  Learning function operators with neural networks.
  ☆28Updated 5 months ago
• timweiland / gp-fvm
  Probabilistic Finite Volume Method based on Affine Gaussian Process inference
  ☆10Updated 7 months ago
• AdrienCorenflos / particle_mala
  Gradient-informed particle MCMC methods
  ☆11Updated last year
• mfschubert / sparsejac
  Efficient forward- and reverse-mode sparse Jacobians using Jax
  ☆54Updated last month
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆87Updated last year
• sbi-benchmark / sbibm
  Simulation-based inference benchmark
  ☆95Updated last week
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆99Updated last year
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆61Updated 4 months ago
• smsharma / awesome-neural-sbi
  Community-sourced list of papers and resources on neural simulation-based inference.
  ☆107Updated last week
• JonathanWenger / itergp
  IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
  ☆40Updated last year