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<h3 align="center">MixMAS</h3> | ||
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<p align="center"> | ||
An official implementation for paper: "MixMAS: A Framework for Sampling-Based Mixer Architecture Search for Multimodal Fusion and Learning" | ||
<br/> | ||
<br/> | ||
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## Table Of Contents | ||
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* [About the Project](#about-the-project) | ||
* [Built With](#built-with) | ||
* [Getting Started](#getting-started) | ||
* [Prerequisites](#prerequisites) | ||
* [Installation](#installation) | ||
* [Usage](#usage) | ||
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## About The Project | ||
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![MixMAS](images/mixmas.png) | ||
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In this paper, we propose MixMAS, a framework for Sampling-Based Mixer Architecture Search for Multimodal Fusion and | ||
Learning. Our framework automatically selects the adequate MLP-based architecture for a given multimodal machine | ||
learning task (MML). | ||
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## Built With | ||
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* [Python](https://www.python.org/) | ||
* [PyTorch](https://pytorch.org/) | ||
* [PyTorch-Lightning](https://www.pytorchlightning.ai/index.html) | ||
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## Getting Started | ||
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### Prerequisites | ||
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python 3.11 or higher | ||
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### Installation | ||
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```bash | ||
pip install -r requirements.txt | ||
``` | ||
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## Usage | ||
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```bash | ||
python run.py | ||
``` | ||
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