thomaspinder

SteinGP

Code to fit Gaussian processes using Stein variational gradient descent. Code is writted in Tensorflow 2.0 and GPFlow 2.

GPViz

A Python package for visualising GPJax Gaussian processes.

NERCExercises

SpectralMixtureGPFlow

StatMLExercises

HierarchicalGPFlow

Hierarchical Gaussian process in GPFlow

30DayMapChallenge

awesome-gaussian-processes

A curated list of resources for learning Gaussian Processes

awesome-jax

JAX - A curated list of resources https://github.com/google/jax

barycentric_fusion

bayesian_benchmarks

A community repository for benchmarking Bayesian methods

ComputationalOptimalTransport

datasets

distrax

dotfiles

Doubly-Stochastic-GPs

general_latex_files

GeometricKernels

Geometric kernels on manifolds, meshes and graphs

gpconvcnp

Code for "GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data"

GPflow

Gaussian processes in TensorFlow

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

Graph-Gaussian-Processes

Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".

latex_template

lgcp.jl

Log-Gaussian Cox Proccesses in Julia

numpyro

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

recipe-scrapers

Python package for scraping recipes data

SparseHGP

Gpflow implementation of a Sparse Hierarchical Gaussian Process (SHGP)

thomaspinder

tpml

treeo

A small library for creating and manipulating custom JAX Pytree classes