ml4fmri lets users benchmark fMRI classifiers with one Python call
PlisSergey · x · 2026-07-28
A one-line toolkit for benchmarking fMRI classifiers
The post highlights ml4fmri, a Python package that lets users benchmark multiple deep learning models on fMRI time-series data with a single function call.
- It is designed for fMRI classification, but the author says it can also be used for other temporal classification tasks.
- A Colab tutorial is provided for setup and customization.
- The package exposes a cvbench() workflow that runs cross-validation across available models, then lets users inspect AUC plots, training curves, logs, and saved CSV/JSON outputs.
- It is positioned as a fast way to compare classifiers on new datasets, reducing the effort needed to establish baselines.
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