# florencejt/fusilli

<https://repo.masters-masters.com/en/repos/florencejt/fusilli>

[Home](https://repo.masters-masters.com/en) › [florencejt](https://repo.masters-masters.com/en/owners/florencejt) › [fusilli](https://repo.masters-masters.com/en/repos/florencejt/fusilli)

florencejt/fusilli has 206 stars on GitHub. Its RepoMasters card: Prototype tier. A Python package housing a collection of deep-learning multi-modal data…

| Field | Value |
| --- | --- |
| Owner | [florencejt](https://repo.masters-masters.com/en/owners/florencejt) |
| Stars | 206 |
| Forks | 16 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | AGPL-3.0 |
| Created | 2023 |
| Topics | attention-mechanism, cnn, data-fusion, graph-neural-network, imaging, machine-learning, multi-view, multi-view-learning, multimodal, multimodal-deep-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [florencejt/fusilli](https://github.com/florencejt/fusilli) |

## Repository

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 🌸

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.