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deep_dali

Computational art for dynamical systems

https://github.com/neelsoumya/deep_dali

Science Score: 44.0%

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    Low similarity (10.4%) to scientific vocabulary

Keywords

art artificial-intelligence computational-art deep-learning dynamical-systems python
Last synced: 6 months ago · JSON representation ·

Repository

Computational art for dynamical systems

Basic Info
  • Host: GitHub
  • Owner: neelsoumya
  • License: gpl-3.0
  • Language: NetLogo
  • Default Branch: main
  • Homepage:
  • Size: 9.12 MB
Statistics
  • Stars: 1
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 6
Topics
art artificial-intelligence computational-art deep-learning dynamical-systems python
Created over 4 years ago · Last pushed over 1 year ago
Metadata Files
Readme Contributing License Citation

README.md

deepdaliwaves

Introduction

Computational art using empathetic Artificial Intelligence and dynamical systems. This can be used to understand life as we do not know it.

This repository has outreach and recreational mathematics activities for lay people to understand alternate views of life (life as we do not know it).

Installation

The Python programming language can be installed from 

https://www.python.org/downloads/

Clone or download the repository.

r git clone https://github.com/neelsoumya/deep_dali

The dependencies can then be installed by typing the following at the command line:

r pip install -r requirements.txt

The NetLOGO language can then be installed from

https://ccl.northwestern.edu/netlogo/download.shtml

Alternatively a version of NetLOGO that can be run from the web browser is available here:

http://netlogoweb.org/

Usage

Type the following command at the command line:

r python3 deep_dream.py deepdali.jpg result

A modified dreaming picture will be saved as result.jpg

The image has a dream-like quality and emphasizes the beauty in life and in dynamical systems.

Files and Resources

  • Deep dream code for waves generated from a B-Z reaction using NetLOGO

    • http://ccl.northwestern.edu/netlogo/models/B-ZReaction

  • Picture is own work from

    • https://www.deviantart.com/neelsoumya/art/Waves-on-another-planet-711752863

  • Generated by simulating a B-Z reaction in NetLOGO

    • http://ccl.northwestern.edu/netlogo/models/B-ZReaction

  • Code is adapted from:

    • https://raw.githubusercontent.com/keras-team/keras/2.1.6/examples/deep_dream.py

    • Usage:

      • python3 deep_dream.py deepdali.jpg result

  • Other resources

    • https://sandspiel.club/
    • http://netlogoweb.org/launch#http://netlogoweb.org/assets/modelslib/Sample%20Models/Chemistry%20&%20Physics/Chemical%20Reactions/B-Z%20Reaction.nlogo
    • Talk on this topic
    • https://youtu.be/jDIt60LVyWY?t=76
    • https://www.saganet.org/

Manuscript

  • Preprint

    https://osf.io/m4qap/

  • Manuscript and citation

    • Beauty of Life in Dynamical Systems: Philosophical Musings and Resources for Students, Soumya Banerjee, Joyeeta Ghose, Tarakeswar Banerjee, Kalyani Banerjee. Journal of Humanistic Mathematics 13(2):427-444, 2023
    • https://scholarship.claremont.edu/jhm/vol13/iss2/23/
    • A Roadmap for a Computational Theory of the Value of Information in Origin of Life Questions, Soumya Banerjee, Interdisciplinary Description of Complex Systems 14(3), 314-321, 2016
    • https://indecs.eu/2016/indecs2016-pp314-321.pdf

Contact

Soumya Banerjee

sb2333@cam.ac.uk

Owner

  • Name: Soumya Banerjee
  • Login: neelsoumya
  • Kind: user
  • Location: Cambridge, UK
  • Company: University of Cambridge

My research interests are in complex systems data science, machine learning, computational biology, computational immunology and computational immunogenomics.

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Banerjee"
  given-names: "Soumya"
  orcid: "https://orcid.org/0000-0000-0000-0000"
title: "deep_dali"
version: 1.0.0
doi: 10.5281/zenodo.1234
date-released: 2021-10-13
url: "https://github.com/neelsoumya/deep_dali"

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Dependencies

DESCRIPTION cran
  • bookdown * imports
  • ggplot2 * imports
  • knitr * imports
  • rmarkdown * imports
  • shiny * imports
  • sqldf * imports
  • tinytex * imports
requirements.txt pypi
  • keras *
  • numpy *
  • scipy *