We proudly provide a Python framework that makes the building of an environment for adversarial agents easy !
A lot of fun functionalities are provided an easily usable out of the box !
The package is publicly available on PyPI.
We strongly encourage the use of a virtual environment:
$ python3 -m venv venv
$ source venv/bin/[activate|Activate.ps1]
(venv)$ pip install seahorse
Our full documentation and a series of tutorials are available on corail-research.github.io.
We are an enthusiastic team of M.Sc candidates led by Pr. Quentin Cappart at Polytechnique Montréal. The package was originally developed in the context of a introductory course to artificial intelligence given to undergrad computer and software engineering students. Checkout our lab's page for more information.
seahorse is distributed under the termes of the 3-Clause BSD License.
FAQs
Unknown package
We found that seahorse demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer 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.