Nilearn sprint: hacking neuroimaging machine learning
Read OriginalThe article details the outcomes of the second international Nilearn sprint in Paris, focused on enhancing the machine learning library for neuroimaging. It lists new features like multi-map plotting, improved glass brain visualizations, spatially-regularized decoders, and sparse dictionary learning. It also mentions infrastructure improvements such as new installation docs, CircleCI integration, and NeuroDebian packaging.
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