Rishit-dagli/Perceiver
Implementation of Perceiver, General Perception with Iterative Attention
This package helps machine learning engineers build powerful models that can process vast amounts of diverse data, like images, video, or audio, without being overwhelmed. It takes in raw, high-dimensional data from various sources and outputs classifications or insights, enabling robust analysis across different data types. Data scientists and AI researchers who need to analyze very large, multi-modal datasets will find this particularly useful.
No commits in the last 6 months. Available on PyPI.
Use this if you are building an advanced AI model that needs to understand and classify information from exceptionally large and varied inputs, such as combining visual, auditory, and textual data.
Not ideal if you are working with small datasets or simpler, single-modality tasks where traditional deep learning models already perform efficiently.
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87
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Language
Python
License
MIT
Category
Last pushed
Apr 26, 2021
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0
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