# shaohua0116/MMAML-Classification

<https://repo.masters-masters.com/en/repos/shaohua0116/MMAML-Classification>

[Home](https://repo.masters-masters.com/en) › [shaohua0116](https://repo.masters-masters.com/en/owners/shaohua0116) › [MMAML-Classification](https://repo.masters-masters.com/en/repos/shaohua0116/MMAML-Classification)

shaohua0116/MMAML-Classification has 141 stars on GitHub. Its RepoMasters card: Prototype tier. An official PyTorch implementation of “Multimodal…

| Field | Value |
| --- | --- |
| Owner | [shaohua0116](https://repo.masters-masters.com/en/owners/shaohua0116) |
| Stars | 141 |
| Forks | 21 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2019 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [shaohua0116/MMAML-Classification](https://github.com/shaohua0116/MMAML-Classification) |

## Repository

An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio\*, Shao-Hua Sun\*, Hexiang Hu, and Joseph J. Lim

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

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