laplax-org / laplaxLinks
Laplace approximations in JAX.
☆17Updated this week
Alternatives and similar repositories for laplax
Users that are interested in laplax are comparing it to the libraries listed below
Sorting:
- Matrix-free linear algebra in JAX.☆119Updated last week
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆111Updated 2 months ago
- ☆161Updated last month
- Sketched matrix decompositions for PyTorch☆70Updated last month
- Tutorial materials of the Probabilistic Numerics Spring School.☆34Updated 2 years ago
- ☆14Updated 9 months ago
- Interpolation and function approximation with JAX☆190Updated 3 weeks ago
- A generic interface for linear algebra backends☆73Updated 3 months ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆26Updated last year
- Gaussian processes in JAX and Flax.☆515Updated 2 weeks ago
- 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
- Efficient forward- and reverse-mode sparse Jacobians using Jax☆57Updated 6 months ago
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆240Updated last week
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆39Updated last month
- Simulation-based inference benchmark☆97Updated 4 months ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆128Updated 9 months ago
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆12Updated 6 months ago
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆41Updated 2 years ago
- Numerical quadrature with JAX☆61Updated this week
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆48Updated 2 months ago
- JAX bindings to the Flatiron Institute Non-uniform Fast Fourier Transform (FINUFFT) library☆95Updated this week
- Large-scale, multi-GPU capable, kernel solver☆187Updated 10 months ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆423Updated last week
- Code for Gaussian Score Matching Variational Inference☆33Updated 3 months ago
- Computation-Aware Kalman Filtering and RTS Smoothing☆18Updated 3 months ago
- MCHMC: sampler from an arbitrary differentiable distribution☆73Updated last month
- Algorithms for computations on random manifolds made easier☆90Updated last year
- Multiple dispatch over abstract array types in JAX.☆124Updated this week
- Gaussian process modelling in Python☆223Updated 5 months ago
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆445Updated last week