pyqalloy
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.
Activity
- Latest release
- 2y ago
- Total releases
- 11
- Cadence
- ~daily
- Last 12 months
- 0
Details
- License
- MIT
- First release
- Apr 04, 2023
| Version | Released | |
|---|---|---|
0.3.9
patch
|
0.3.9
patch
Dependencies (12)
+ 4 more |
|
0.3.7
patch
|
0.3.7
patch
Dependencies (12)
+ 4 more |
|
0.3.6
patch
|
0.3.6
patch
Dependencies (11)
+ 3 more |
|
0.3.5.post2
pre
|
0.3.5.post2
pre
Dependencies (11)
+ 3 more |
|
0.3.5.post1
pre
|
0.3.5.post1
pre
Dependencies (11)
+ 3 more |
|
0.3.5
patch
|
0.3.5
patch
Dependencies (11)
+ 3 more |
|
0.3.4
patch
|
0.3.4
patch
Dependencies (12)
+ 4 more |
|
0.3.3
patch
|
0.3.3
patch
Dependencies (12)
+ 4 more |
|
0.3.1
patch
|
0.3.1
patch
Dependencies (16)
+ 8 more |
|
0.3.0
minor
|
0.3.0
minor
Dependencies (16)
+ 8 more |
|
0.2.0
initial
|
0.2.0
initial
Dependencies (16)
+ 8 more |