GPBoostCombining tree-boosting with Gaussian process and mixed effects models
GPJaxA didactic Gaussian process package for researchers in Jax.
mangoParallel Hyperparameter Tuning in Python
ml course"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019
kalman-jaxApproximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
gpDifferentiable Gaussian Process implementation for PyTorch
go-bayesoptA library for doing Bayesian Optimization using Gaussian Processes (blackbox optimizer) in Go/Golang.
approxposteriorA Python package for approximate Bayesian inference and optimization using Gaussian processes
boundary-gpKnow Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
pyrffpyrff: Python implementation of random fourier feature approximations for gaussian processes
GPflow-Slimcustomized GPflow with simple Tensorflow API
TemporalGPs.jlFast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html