aterenin / SparseGPAXLinks
An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
☆22Updated 4 years ago
Alternatives and similar repositories for SparseGPAX
Users that are interested in SparseGPAX are comparing it to the libraries listed below
Sorting:
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆12Updated last year
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 4 years ago
- A generic interface for linear algebra backends☆73Updated 3 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
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆21Updated 4 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- A lightweight didactic library of kernel methods using the back-end JAX.☆12Updated 2 years ago
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Updated 3 months ago
- ☆15Updated 2 years ago
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated 2 years ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆32Updated 3 years ago
- Tutorial materials of the Probabilistic Numerics Spring School.☆34Updated 2 years ago
- Public code for running Stochastic Gradient Descent on GPs.☆38Updated last month
- probabilistic programming focused on fun☆41Updated 7 months ago
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆11Updated 2 years ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆42Updated 10 months ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- A simple library to run variational inference on Stan models.☆32Updated 2 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Probabilistic deep learning using JAX☆14Updated 3 months ago
- Simple, extensible implementations of some meta-learning algorithms in Jax☆10Updated 4 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆66Updated 4 months ago
- ☆12Updated 3 years ago
- A framework for composing Neural Processes in Julia☆76Updated 4 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆103Updated last year
- ☆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
- Exponential families for JAX☆69Updated last week