Fede Raimondo

Computer Scientist / Neuroscientist

Julearn

User-friendly Machine Learning in Python

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.

Julearn is under active development but its already useful and we wanted to share it with the community. Feel free to try it and we will be happy to receive feedback.

Find more about Julearn in the documentation.