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eunectes

AI Auditing + Privacy

https://github.com/rexyuan/eunectes

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 (3.0%) to scientific vocabulary
Last synced: 7 months ago · JSON representation ·

Repository

AI Auditing + Privacy

Basic Info
  • Host: GitHub
  • Owner: RexYuan
  • License: unlicense
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage:
  • Size: 19.4 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed 10 months ago
Metadata Files
Readme License Citation

README.md

Workflow Example

  • adult_process.ipynb processes data/adult_og.csv to give data/adult_processed.csv.
  • adult_mst.ipynb prepares the graph for marginal cliques.
  • adult_RF.ipynb creates a model for later scoring use.
  • adult_synth.ipynb trains the data synthesizer based on marginal cliques.
  • adult_fair.ipynb calculates and compares the fairness scores of models on original dataset and synthetic datasets.

Setup

conda env create -f environment.yml mkdir experiments/model experiments/tmp

Owner

  • Name: Rex Yuan
  • Login: RexYuan
  • Kind: user
  • Location: Taipei

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Yuan"
  given-names: "Chih-Cheng Rex"
  affiliation: "Institute of Information Science, Academia Sinica, Taipei, Taiwan"
- family-names: "Wang"
  given-names: "Bow-Yaw"
  affiliation: "Institute of Information Science, Academia Sinica, Taipei, Taiwan"
title: "Fairness Checking with Differentially Private Synthetic Data"
version: 0.0.1
date-released: 2024-12-07
url: "https://github.com/RexYuan/Eunectes/"

GitHub Events

Total
  • Push event: 93
Last Year
  • Push event: 93

Dependencies

environment.yml conda
  • jupyter
  • matplotlib
  • numpy
  • pandas
  • pip
  • python 3.13.*
  • scikit-learn
  • xgboost