ATHENA is an open source Python package for reduction in parameter space. It implements several advanced numerical analysis techniques such as Active Subspaces (AS), Kernel-based Active Subspaces (KAS), and Nonlinear Level-set Learning (NLL) method. It is intended as a tool for regression, sensitivity analysis, and in general to enhance existing numerical simulations' pipelines tackling the curse of dimensionality. Source code, documentation, and several tutorials are available on GitHub at https://github.com/mathLab/ATHENA under the MIT license.

翻译：ATHENA是用于减少参数空间的开放源码 Python 软件包,它采用若干先进的数字分析技术,如活动子空间(AS)、内核活动子空间(KAS)、非线性级级学习(NLL)方法,目的是作为回归、敏感度分析的工具,并一般地加强现有的数字模拟管道,以解决维度的诅咒。