I developed modl, a package that proposes fast algorithms for sparse and dense matrix factorization, with a scikit-learn compatible API.
I maintain cogspaces, a package that allows to do multi-study decoding in functional MRI. This new analysis approach uses brain-mind associations from many fMRI sources to extract functional networks relevant for mental state prediction.
I was a regular contributer to scikit-learn library, a widely used Python library for general machine learning.
I also contributed to nilearn, a python library that leverages scikit-learn to perform analysis in neuro-imagery.