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[QA] AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models
AutoGluon-Multimodal (AutoMM) is an open-source AutoML library for multimodal learning, offering easy fine-tuning with three lines of code. It supports various modalities and excels in basic and advanced tasks.
https://arxiv.org/abs//2404.16233
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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By Igor Melnyk
5
33 ratings
AutoGluon-Multimodal (AutoMM) is an open-source AutoML library for multimodal learning, offering easy fine-tuning with three lines of code. It supports various modalities and excels in basic and advanced tasks.
https://arxiv.org/abs//2404.16233
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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