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LLaVA-Video
Models focus on video understanding (previously known as LLaVA-NeXT-Video).
64
GIT
GIT (Generative Image-to-text Transformer) is a model useful for vision-language tasks such as image/video captioning and question answering.
12
ARCH models, benchmark and paper
This collection contains pre-trained models on the AudioSet dataset, offering a diverse set of features for audio representation learning.
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EdsEyes
A series of multimodal large language models developed for robotics
1
Papers
Machine Learning and Neural Network papers 📜
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LLaVA-Video
Models focus on video understanding (previously known as LLaVA-NeXT-Video).
64
GIT
GIT (Generative Image-to-text Transformer) is a model useful for vision-language tasks such as image/video captioning and question answering.
12
ARCH models, benchmark and paper
This collection contains pre-trained models on the AudioSet dataset, offering a diverse set of features for audio representation learning.
-
EdsEyes
A series of multimodal large language models developed for robotics
1
Papers
Machine Learning and Neural Network papers 📜
-