aterenin / SparseGPAX
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
- 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
- A generic interface for linear algebra backends☆73Updated last month
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆11Updated 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 8 months ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆31Updated 3 years ago
- ☆15Updated 2 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- probabilistic programming focused on fun☆40Updated 5 months ago
- Tutorial materials of the Probabilistic Numerics Spring School.☆34Updated last year
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆21Updated 4 years ago
- A lightweight didactic library of kernel methods using the back-end JAX.☆12Updated 2 years ago
- Public code for running Stochastic Gradient Descent on GPs.☆36Updated 5 months ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated 2 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆41Updated 8 months ago
- Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX☆23Updated 2 years ago
- A simple library to run variational inference on Stan models.☆30Updated last year
- ☆30Updated 2 years ago
- Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)☆20Updated 11 months ago
- Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes☆11Updated 5 months ago
- "Variational inference tools to leverage estimator sensitivity."☆16Updated last year
- ☆50Updated 2 years ago
- Exponential families for JAX☆63Updated this week
- Kernels, the machine learning ones☆14Updated 2 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆71Updated 4 years ago
- Implementation of stochastic variational inference for differentially deep gaussian processes☆15Updated 6 years ago
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆12Updated 3 months ago