Gaussian Processes Python Packages

gpytorch

A highly efficient implementation of Gaussian Processes in PyTorch

gpflow

Gaussian processes in TensorFlow

pykrige

Kriging Toolkit for Python

arm-mango

Parallel Hyperparameter Tuning in Python

egobox

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

george

Fast and flexible Gaussian Process regression in Python

gpjax

Gaussian processes in JAX and Equinox.

gpboost

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

baytune

A simple, extensible library for developing AutoML systems

celerite

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

surmise

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

mellon

Non-parametric density inference for single-cell analysis.

detkit

Matrix Determinant Toolkit (memdet)

gaussforge

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

neural-tangents

Fast and Easy Infinite Neural Networks in Python

fvgp

A software package for flexible HPC GPs

mogp-emulator

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

pysot

Surrogate Optimization Toolbox for Python

glearn

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

autoemulate

Emulate simulations easily

numpy-ml

Machine learning, in numpy

stheno

Gaussian process modelling in Python

gpjax-nightly

Gaussian processes in JAX and Equinox.

prandtl-cfd

CFD surrogate modeling toolkit — train, validate, and export surrogate models for aerodynamic predictions.