https://github.com/yuehhua/hopfields.jl

Modern Hopfield layer implementations in Julia
https://github.com/yuehhua/hopfields.jl

deep-learning hopfield-network hopfield-neural-network

Last synced: 11 days ago
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Modern Hopfield layer implementations in Julia

• Host: GitHub
• URL: https://github.com/yuehhua/hopfields.jl
• Owner: yuehhua
• License: mit
• Created: 2022-06-14T12:29:02.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-07-21T06:54:56.000Z (over 2 years ago)
• Last Synced: 2024-11-23T12:05:12.865Z (29 days ago)
• Topics: deep-learning, hopfield-network, hopfield-neural-network
• Language: Julia
• Homepage:
• Size: 125 KB
• Stars: 14
• Watchers: 2
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE

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README

        
# Hopfields.jl

[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://yuehhua.github.io/Hopfields.jl/stable/)

[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://yuehhua.github.io/Hopfields.jl/dev/)

[![Build Status](https://github.com/yuehhua/Hopfields.jl/actions/workflows/CI.yml/badge.svg?branch=main)](https://github.com/yuehhua/Hopfields.jl/actions/workflows/CI.yml?query=branch%3Amain)

[![Coverage](https://codecov.io/gh/yuehhua/Hopfields.jl/branch/main/graph/badge.svg)](https://codecov.io/gh/yuehhua/Hopfields.jl)

Hopfields.jl provides basic implementation of Hopfield layers that can be stacked in deep learning model. It is implemented based on Flux.jl framework and is CUDA-available with CUDA.jl.

## References

This repository contains the Julia implementation of paper [Hopfield Networks is All You Need](https://arxiv.org/abs/2008.02217). For more details, you can check their [blog post](https://ml-jku.github.io/hopfield-layers/) and repository [ml-jku/hopfield-layers](https://github.com/ml-jku/hopfield-layers).