florencejt/fusilli

A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evaluation - fusilli's got you covered 🌸

40
/ 100
Emerging

This tool helps researchers and data scientists combine different types of data, like blood test results and medical images, to make better predictions about outcomes such as disease development. You input various datasets, and it outputs trained models and evaluations for regression or classification tasks, enabling you to compare different data fusion approaches. It's designed for anyone working with multi-modal data in machine learning, particularly those in scientific or medical fields.

198 stars. No commits in the last 6 months.

Use this if you need to combine tabular data with other tabular data or image data (2D or 3D) for prediction tasks like regression, binary classification, or multi-class classification.

Not ideal if your primary goal is data clustering or image segmentation, as these tasks are not currently supported.

multi-modal-data biomedical-research predictive-modeling healthcare-analytics machine-learning-engineering
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 12 / 25

How are scores calculated?

Stars

198

Forks

16

Language

Python

License

AGPL-3.0

Last pushed

Jul 23, 2025

Commits (30d)

0

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