yuehhua/Hopfields.jl
Modern Hopfield layer implementations in Julia
This is a tool for machine learning practitioners and researchers working with deep learning models. It provides specialized layers for neural networks that can help with tasks like pattern recognition or associative memory. You would integrate these layers into your existing Julia-based deep learning models to enhance their capabilities.
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Use this if you are a machine learning engineer or researcher developing neural networks in Julia and want to incorporate modern Hopfield layer functionalities.
Not ideal if you are not a deep learning developer or are not working with the Julia programming language.
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Language
Julia
License
MIT
Category
Last pushed
Jul 21, 2022
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