Science Score: 57.0%

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
    Found 2 DOI reference(s) in README
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (8.9%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: Cimagroup
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 3.37 MB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Created almost 3 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

Beta Version - Data Reduction Repository

This is the beta version of the data reduction package created by the CIMAgroup research team at the University of Seville, Spain, for the European Project REXASI-PRO (REliable & eXplainable Swarm Intelligence for People with Reduced mObility) (HORIZON-CL4-HUMAN-01 programme under grant agreement nº101070028).

This repository reunites in a single package a list of data reduction techniques:

  • SRS: Stratified Random Sampling
  • PRD: ProtoDash Selection
  • CLC: Clustering Centroids Selection
  • MMS: Maxmin Selection
  • DES: Distance-Entropy Selection
  • PHL: Persistent Homology Landmarks Selection
  • NRMD: Numerosity Reduction by Matrix Decomposition
  • FES: Forgetting Events Selection

To use the data reduction functions, it is necessary to install a list of libraries and clone the original repositories of the papers we are referencing to. To clone them, it is necessary to

Installation in Windows

  1. Create a virtual environment with Python >=3.9
  2. Install GitBash (https://git-scm.com/downloads).
  3. Open a terminal and execute in "datareduction/OriginalRepositories":

bash ./clone_repos.bat 4. To conclude the installation, go to the same location as setup.py and execute in a terminal:

bash ./install.bat

Installation in Ubuntu

  1. Install GitBash (https://git-scm.com/downloads).
  2. Open a terminal and execute in "datareduction/OriginalRepositories":

bash chmod +x ./clone_repos.sh ./clone_repos.sh

  1. Create a virtual environment for Python version 3.9 or higher.

bash conda create -n name python=3.9 conda activate name

  1. To conclude the installation, go to the same location as setup.py and execute in a terminal:

bash chmod +x ./install.sh sed -i -e 's/\r$//' install.sh ./install.sh

Citation and reference

If you want to use our code for your experiments, please cite our paper as fpllows:

Perera-Lago J, Toscano-Duran V, Paluzo-Hidalgo E et al. An in-depth analysis of data reduction methods for sustainable deep learning [version 2; peer review: 2 approved]. Open Res Europe 2024, 4:101 (https://doi.org/10.12688/openreseurope.17554.2)

For further information, please contact us at: vtoscano@us.es jperera@us.es

Owner

  • Name: Combinatorial Image Analysis research group
  • Login: Cimagroup
  • Kind: organization

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: Repository Survey Green AI
message: 'If you use this software, please cite it as below.'
type: software
authors:
  - given-names: Javier
    family-names: Perera Lago
    email: jperera@us.es
    affiliation: Universidad de Sevilla
    orcid: 'https://orcid.org/0000-9000-9453-6402'
  - given-names: Eduardo
    family-names: Paluzo Hidalgo
    email: epaluzo@uloyola.es
    affiliation: Universidad de Loyola
    orcid: 'https://orcid.org/0000-0002-4280-5945'
  - given-names: Víctor
    family-names: Toscano Durán
    email: vtoscano@us.es
    affiliation: Universidad de Sevilla
    orcid: 'https://orcid.org/0009-0006-1316-9026'
identifiers:
  - type: doi
    value: 10.5281/zenodo.10844558
repository-code: 'https://github.com/Cimagroup/SurveyGreenAI/'
version: '1.0'
date-released: '2024-03-20'

GitHub Events

Total
Last Year

Dependencies

setup.py pypi
  • GitPython ==3.1.36
  • cvxopt ==1.3.2
  • cvxpy ==1.4.1
  • cython ==3.0.2
  • gudhi ==3.9.0
  • mnist ==0.2.2
  • numpy ==1.23.5
  • openpyxl ==3.0.10
  • pandas ==1.3.5
  • pyspark ==3.5.0
  • qpsolvers ==4.0.1
  • scikit-learn ==1.3.0
  • scipy ==1.11.4
  • tensorflow ==2.15.0
  • xport ==3.6.1