geraschenko / gmrfsLinks
Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)
☆22Updated last year
Alternatives and similar repositories for gmrfs
Users that are interested in gmrfs are comparing it to the libraries listed below
Sorting:
- Self-tuning HMC algorithms and evaluations☆19Updated 7 months ago
- Tutorials and sampling algorithm comparisons☆75Updated this week
- Sampling with Blackjax on Aesara☆11Updated 2 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- A simple library to run variational inference on Stan models.☆32Updated 2 years ago
- A generic interface for linear algebra backends☆73Updated 3 months ago
- probabilistic programming focused on fun☆41Updated 7 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
- Code of PriorVAE: encoding spatial priors with variational autoencoders☆12Updated last year
- Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"☆65Updated 3 months ago
- ☆15Updated last month
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆48Updated 2 months ago
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆39Updated last year
- Bayesian inference and posterior analysis for Python☆44Updated last year
- 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
- State of the art inference for your bayesian models.☆218Updated last month
- Public code for running Stochastic Gradient Descent on GPs.☆38Updated last month
- Code for utilising VAE as means of doing exact MCMC inference in complex high-dimensional space☆14Updated last year
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆41Updated 2 years ago
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Updated 3 months ago
- Distrax, but in equinox. Lightweight JAX library of probability distributions and bijectors.☆31Updated last month
- Probabilistic deep learning using JAX☆14Updated 3 months ago
- Exponential families for JAX☆69Updated this week
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆11Updated 2 years ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆58Updated last year
- Interactive textbook on state space models☆12Updated 3 years ago
- Gaussian processes on graphs and lattices in Stan.☆18Updated 2 months ago
- Literature and light wrappers for gaussian process models.☆46Updated 3 years ago
- Code for Gaussian Score Matching Variational Inference☆33Updated 3 months ago
- Tutorial materials of the Probabilistic Numerics Spring School.☆34Updated 2 years ago