JuLearn

julearn is a user-oriented machine-learning library.
At the Applied Machine Learning (AML) group, as part of the Institute of Neuroscience and Medicine - Brain and Behaviour (INM-7), we thought that using ML in research could be simpler.
In the same way as seaborn provides an abstraction of matplotlib’s functionality aiming for powerful data visualization with minor coding, we built julearn on top of scikit-learn.

This library provides users with the possibility of testing ML models directly from pandas dataframes, while keeping the flexibiliy of using scikit-learn’s models.

Find out more here