pyqalloy

Release 0.3.7

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.

Homepage PyPI

License
MIT
Install
pip install pyqalloy==0.3.7

Stats

Dependencies
12
Dependent packages
0
Dependent repositories
0
Total releases
10
Latest release
First release
SourceRank
5

Development practices

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Releases

0.3.7
0.3.6
0.3.5.post2
0.3.5.post1
0.2.0
0.3.4
0.3.5
0.3.3
0.3.1
0.3.0

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