kyegomez/GATS
Implementation of GATS from the paper: "GATS: Gather-Attend-Scatter" in pytorch and zeta
This project offers a specialized building block for deep learning models that can process and combine information from various data types like text, images, audio, and video simultaneously. It takes in these different data streams and outputs a unified representation that captures relationships across them. This is for AI researchers and machine learning engineers developing advanced multi-modal AI systems.
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Use this if you are building complex AI models that need to understand and integrate information from multiple diverse data sources at once.
Not ideal if you are working with single-modality data (e.g., only text or only images) or are not a machine learning practitioner.
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Language
Python
License
MIT
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Last pushed
Nov 11, 2024
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