Apricopt is a python framework for simulation-based optimisation of dynamical systems.
It is agnostic with respect to the optimiser and to the simulator.
Apricopt supports the PEtab format for the definition of the optimisation problem. More info about PEtab here.
Currently, we support the following simulators:
Currently, we support the following black-box optimisers:
Currently, we support the following white-box optimisers:
WIP
Copyright (C) 2020-2021 Marco Esposito, Leonardo Picchiami.
Distributed under GNU General Public License v3.
FAQs
A library for simulation-based parameter optimization
We found that apricopt demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
PyPI confirms no security flaws were exploited in the Ultralytics supply chain attack and highlights improvements for safer package publishing.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.
