aidanscannell / GPJaxLinks
Minimal Gaussian process library in JAX with a simple (custom) approach to state management.
☆12Updated 2 years ago
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☆74Updated 5 years ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- ☆30Updated 3 years ago
- Normalizing Flows using JAX☆86Updated 2 years ago
- A generic interface for linear algebra backends☆76Updated 2 months ago
- ☆21Updated 3 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- ☆52Updated 2 years ago
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Updated 11 months ago
- A curated list of resources for learning Gaussian Processes☆41Updated 4 years ago
- Bayesian algorithm execution (BAX)☆55Updated 4 years ago
- A lightweight didactic library of kernel methods using the back-end JAX.☆12Updated 2 years ago
- Gaussian Mixture Models in Jax☆23Updated 6 months ago
- Exponential families for JAX☆76Updated last week
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆29Updated 11 months ago
- Library for normalizing flows and neural flows.☆26Updated 3 years ago
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆43Updated 2 years ago
- Bibtex for various Python science and machine learning software☆33Updated 3 years ago
- Simple, extensible implementations of some meta-learning algorithms in Jax☆11Updated 5 years ago
- ☆31Updated last year
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 7 years ago
- Nonparametric Differential Equation Modeling☆56Updated last year
- Riemannian Optimization Using JAX☆53Updated 2 years ago
- A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…☆14Updated 3 years ago
- ☆80Updated 4 years ago
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆25Updated 4 years ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆39Updated 4 years ago
- Minimal Implementation of Bayesian Optimization in JAX☆101Updated 8 months ago