plugyawn / gp-zooLinks
A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably including Stochastic Variational Gaussian Processes.
☆14Updated 2 years ago
Alternatives and similar repositories for gp-zoo
Users that are interested in gp-zoo are comparing it to the libraries listed below
Sorting:
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆27Updated 4 years ago
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆25Updated 3 years ago
- Modular Gaussian Processes☆15Updated 3 years ago
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Updated 3 months ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Updated 11 months ago
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆12Updated last year
- ☆29Updated 2 years ago
- Methods and experiments for assumed density SDE approximations☆12Updated 3 years ago
- ☆15Updated 2 years ago
- Example code to speed up GP inference with gradients for high-dimensional inputs.☆14Updated 3 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Code that accompanies the paper Guided Deep Kernel Learning☆10Updated 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 10 months ago
- Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants☆15Updated 3 weeks ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 2 years ago
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Updated 3 years ago
- Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)☆11Updated 3 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 4 years ago
- This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.☆31Updated last year
- A community repository for benchmarking Bayesian methods☆11Updated 2 years ago
- A lightweight didactic library of kernel methods using the back-end JAX.☆12Updated 2 years ago
- ☆13Updated last year
- ☆40Updated last year
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆62Updated 4 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- Nonparametric Differential Equation Modeling☆53Updated last year
- Tutorial materials of the Probabilistic Numerics Spring School.☆34Updated 2 years ago