name: pyqalloy
description: PyQAlloy is a tool for detection of abnormal data in alloy datasets (and other chemical spaces), allowing removal of hard-to-find erros in the data which often introduce systematic errors throwing off machine learning and researchers alike. Its development is a part of ULTERA Project carried under the DOE ARPA-E ULTIMATE program that aims to develop a new generation of materials for turbine blades and related applications.
license_spdx: MIT
version: 0.3.7
spec_version: 1.0
home_url: https://pyqalloy.ultera.org
news_url: https://libraries.io/pypi/pyqalloy/versions.atom
date: 2023-11-22
about_resource: NONE
libraries_io_url: https://libraries.io/pypi/pyqalloy?number=0.3.7
