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gpytorch

A highly efficient implementation of Gaussian Processes in PyTorch

gpflow

Gaussian processes in TensorFlow

pykrige

Kriging Toolkit for Python

egobox

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

arm-mango

Parallel Hyperparameter Tuning in Python

george

Fast and flexible Gaussian Process regression in Python

gpboost

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

gpjax

Gaussian processes in JAX and Equinox.

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

gaussforge

High-performance Gaussian Splatting format conversion library

mellon

Non-parametric density inference for single-cell analysis.

fvgp

A software package for flexible HPC GPs

baytune

A simple, extensible library for developing AutoML systems

glearn

Gaussian Process for Machine Learning

pysot

Surrogate Optimization Toolbox for Python

corticalfields

Spectral cortical and subcortical analysis with statistical testing (RSA, CCA, PLS, PERMANOVA, TFCE, NBS, laterality classification), on meshes and point clouds — Laplace-Beltrami decomposition, atlas-free asymmetry, GPU-accelerated optimal transport, hippocampal subfield analysis (HippUnfold), ShapeDNA/BrainPrint spectral fingerprinting, geometric deep learning, Bayesian inference, and normative modeling for structural neuroimaging.

neural-tangents

Fast and Easy Infinite Neural Networks in Python

gpjax-nightly

Gaussian processes in JAX and Equinox.

eztao

A toolkit for Active Galactic Nuclei (AGN) time-series analysis.

mogp-emulator

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

stheno

Gaussian process modelling in Python

skbel

SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.