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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.

copied from cf-staging / pyqalloy
Type Size Name Uploaded Downloads Labels
conda 23.8 kB | noarch/pyqalloy-0.3.9-pyhd8ed1ab_0.conda  5 months and 15 days ago 505 main
conda 23.7 kB | noarch/pyqalloy-0.3.7-pyhd8ed1ab_0.conda  1 year and 12 days ago 656 main
conda 22.1 kB | noarch/pyqalloy-0.3.6-pyhd8ed1ab_1.conda  1 year and 14 days ago 648 main
conda 22.0 kB | noarch/pyqalloy-0.3.6-pyhd8ed1ab_0.conda  1 year and 15 days ago 622 main
conda 21.6 kB | noarch/pyqalloy-0.3.5.post2-pyhd8ed1ab_0.conda  1 year and 4 months ago 799 main

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