aidanscannell / GPJaxLinks
Minimal Gaussian process library in JAX with a simple (custom) approach to state management.
☆12Updated last year
Alternatives and similar repositories for GPJax
Users that are interested in GPJax are comparing it to the libraries listed below
Sorting:
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- A generic interface for linear algebra backends☆73Updated 3 months ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- A lightweight didactic library of kernel methods using the back-end JAX.☆12Updated 2 years ago
- ☆30Updated 8 months 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 SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Updated 3 months ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆48Updated 2 months ago
- ☆30Updated 2 years ago
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆45Updated 4 months ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 4 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- ☆20Updated 2 years ago
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆41Updated 2 years ago
- Exponential families for JAX☆69Updated this week
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆103Updated last year
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆25Updated 3 years ago
- ☆52Updated 2 years ago
- Simple, extensible implementations of some meta-learning algorithms in Jax☆10Updated 4 years ago
- Tools for JAX☆47Updated this week
- RKHS feature vectors, operators, and statistical models using JAX for automatic differentiation☆8Updated 3 years ago
- Distrax, but in equinox. Lightweight JAX library of probability distributions and bijectors.☆31Updated last month
- Amortized Probabilistic Conditioning for Optimization, Simulation and Inference (Chang et al., AISTATS 2025)☆16Updated last month
- Tutorial materials of the Probabilistic Numerics Spring School.☆34Updated 2 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆11Updated 2 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Public code for running Stochastic Gradient Descent on GPs.☆38Updated last month
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago