cambridge-mlg / sgd-gpLinks
Public code for running Stochastic Gradient Descent on GPs.
☆39Updated 5 months ago
Alternatives and similar repositories for sgd-gp
Users that are interested in sgd-gp are comparing it to the libraries listed below
Sorting:
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆53Updated 3 weeks ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- A generic interface for linear algebra backends☆73Updated 7 months ago
- Matrix-free linear algebra in JAX.☆141Updated 2 weeks ago
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆42Updated 2 years ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆59Updated last year
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Updated 7 months ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated last year
- Tutorial materials of the Probabilistic Numerics Spring School.☆35Updated 2 years ago
- Code for Gaussian Score Matching Variational Inference☆35Updated 7 months ago
- Code for efficiently sampling functions from GP(flow) posteriors☆73Updated 4 years ago
- Tutorials and sampling algorithm comparisons☆77Updated this week
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆115Updated 6 months ago
- ☆189Updated last month
- Riemannian Optimization Using JAX☆52Updated last year
- Neat Bayesian machine learning examples☆58Updated last week
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆21Updated last year
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆12Updated last year
- Simulation-based inference benchmark☆102Updated 8 months ago
- Minimal Implementation of Bayesian Optimization in JAX