Skip to main content

A Python library to (bene)fit Gaussian Process Emulators.

Project description


A Python library to (bene)fit Gaussian Process Emulators.


Status: Actively developed

Type: Personal project

Development years: 2020-2021

Authors: stelong, ShadowTemplate

Getting Started



Create a Python3 virtual environment (optional)

python3 -m venv venv
source venv/bin/activate
pip install --upgrade pip setuptools wheel

Install using pip:

pip install GPErks

or, install from the project repository:

git clone
cd GPErks/
pip install .


Full documentation under construction. For the moment, please refer to the example notebooks.


stelong and ShadowTemplate are the only maintainers. Any contribution is welcome!


This project is licensed under the MIT license. Please refer to the file for details.

This complies with this project template. Feel free to adopt it and reuse it.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

GPErks-0.1.0.tar.gz (29.6 kB view hashes)

Uploaded Source

Built Distribution

GPErks-0.1.0-py3-none-any.whl (38.1 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page