Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (4.9%) to scientific vocabulary
Last synced: 11 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: mohamed-services
  • License: gpl-3.0
  • Language: Python
  • Default Branch: main
  • Size: 375 KB
Statistics
  • Stars: 3
  • Watchers: 2
  • Forks: 1
  • Open Issues: 2
  • Releases: 0
Created over 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme Contributing License Citation

README.md

Multidimensional neural networks

This is an open source project so anyone is more than welcome to clone it, improve upon it and send a pull request to update it.

the purpose of this paper is to help you create a full general purpose AI model that can be trained from scratch on a personal computer and scaled based on the user requirements.

The Multidimensional neural networks paper is on
https://github.com/mohamed-services/mnn/blob/main/paper.md

If you have any questions or recommendations on how to improve this architecture and willing to share it or make it open source, please contact me or send a pull request,
If you have any freelancing task or any task that needs to be outsourced please contact me,
You can email me on my personal email mohamed.sourcing@gmail.com

Owner

  • Login: mohamed-services
  • Kind: user

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - given-names: "Mohamed"
    family-names: "Ibrahim"
    email: "mohamed.sourcing@gmail.com"
title: "Multidimensional Neural Networks"
version: 0.1.0
date-released: 2025-01-01
url: "https://github.com/mohamed-services/mnn"
repository-code: "https://github.com/mohamed-services/mnn"
abstract: >
  This repository contains an implementation of Multidimensional Neural Networks (MNN),
  a novel neural network architecture designed to process high-dimensional data more
  efficiently than traditional approaches. By reshaping inputs into higher dimensions
  and processing them along different axes, MNNs can potentially reduce computational
  complexity while maintaining model expressiveness.
keywords:
  - neural-networks
  - deep-learning
  - multidimensional
  - tensorflow
  - pytorch
license: GPL-3.0
references:
  - type: article
    authors:
      - family-names: "Vaswani"
        given-names: "Ashish"
      - family-names: "Shazeer"
        given-names: "Noam"
      - family-names: "Parmar"
        given-names: "Niki"
      - family-names: "Uszkoreit"
        given-names: "Jakob"
      - family-names: "Jones"
        given-names: "Llion"
      - family-names: "Gomez"
        given-names: "Aidan N."
      - family-names: "Kaiser"
        given-names: "Lukasz"
      - family-names: "Polosukhin"
        given-names: "Illia"
    title: "Attention Is All You Need"
    year: 2017
    url: "https://arxiv.org/abs/1706.03762"
  - type: article
    authors:
      - family-names: "Tolstikhin"
        given-names: "Ilya"
      - family-names: "Houlsby"
        given-names: "Neil"
      - family-names: "Kolesnikov"
        given-names: "Alexander"
      - family-names: "Beyer"
        given-names: "Lucas"
      - family-names: "Zhai"
        given-names: "Xiaohua"
      - family-names: "Unterthiner"
        given-names: "Thomas"
      - family-names: "Yung"
        given-names: "Jessica"
      - family-names: "Steiner"
        given-names: "Andreas"
      - family-names: "Keysers"
        given-names: "Daniel"
      - family-names: "Uszkoreit"
        given-names: "Jakob"
      - family-names: "Lucic"
        given-names: "Mario"
      - family-names: "Dosovitskiy"
        given-names: "Alexey"
    title: "MLP-Mixer: An all-MLP Architecture for Vision"
    year: 2021
    url: "https://arxiv.org/abs/2105.01601"

GitHub Events

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  • Issues event: 1
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