Research data management in biomedical and machine learning applications
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API and usage : http://raamana.github.io/pyradigm/
Demo notebook (no setup required) :
The illustration below describes the full functionality of pyradigm in the latest version 0.6, for which docs will be updated shortly (see below illustration for docs on previous versions):
The value of pyradigm is even more appreciated in the management of multi-modal feature sets, which becomes more efficient and easier to manage.
Usage/demo notebook (no setup required) :
Documentation : http://raamana.github.io/pyradigm/
Name : pyradigm roughly stands for PYthon based data structure to improve Dataset’s InteGrity in Machine learning workflows.
