Gaussian Processes Python Packages

bayesian-optimization

A Python implementation of global optimization with gaussian processes.

gpytorch

A highly efficient implementation of Gaussian Processes in PyTorch

pykrige

Kriging Toolkit for Python

egobox

Efficient global optimization toolbox in Rust: bayesian optimization, mixture of gaussian processes, sampling methods

mellon

Non-parametric density inference for single-cell analysis.

gpflow

Gaussian processes in TensorFlow

arm-mango

Parallel Hyperparameter Tuning in Python

gpboost

Tree-Boosting, Gaussian Processes, and Mixed-Effects Models

gpjax

Gaussian processes in JAX and Equinox.

george

Fast and flexible Gaussian Process regression in Python

celerite

Scalable 1D Gaussian Processes in C++, Python, and Julia

detkit

Matrix Determinant Toolkit (memdet)

surmise

A python package for surrogate models that interface with calibration and other tools

fvgp

A software package for flexible HPC GPs

pysot

Surrogate Optimization Toolbox for Python

ptgp

GPs in PyTensor

baytune

A simple, extensible library for developing AutoML systems

piscola

Supernova light-curve fitting code

mogp-emulator

Package for fitting Gaussian Process Emulators to multiple output computer simulation results.

glearn

High-performance python package for machine learning using Gaussian process.

gaussforge

A high-performance Gaussian Splatting format conversion library that supports lossless conversion between multiple mainstream formats.

stheno

Gaussian process modelling in Python

lsqfitgp

A general purpose Gaussian process regression module

robustcov

Robust scatter geometry for anomaly detection, kernels, and ML workflows in Python.