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Equitable AI Research Core

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  1. ml-design-docs ml-design-docs Public archive

    Forked from eugeneyan/ml-design-docs

    📄 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)

  2. lime lime Public

    Forked from marcotcr/lime

    Lime: Explaining the predictions of any machine learning classifier

    JavaScript

  3. adversarial-robustness-toolbox adversarial-robustness-toolbox Public

    Forked from Trusted-AI/adversarial-robustness-toolbox

    Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

    Python

  4. awesome-fairness-papers awesome-fairness-papers Public

    Forked from uclanlp/awesome-fairness-papers

    Papers on fairness in NLP

  5. compas-analysis compas-analysis Public

    Forked from propublica/compas-analysis

    Data and analysis for 'Machine Bias'

    Jupyter Notebook

  6. inFairness inFairness Public

    Forked from IBM/inFairness

    PyTorch package to train and audit ML models for Individual Fairness

    Python

Repositories

Showing 10 of 20 repositories
  • AIX360 Public Forked from Trusted-AI/AIX360

    Interpretability and explainability of data and machine learning models

    equitable-ai-research/AIX360’s past year of commit activity
    Python 0 Apache-2.0 319 0 0 Updated Jul 16, 2024
  • OmniXAI-dash-app Public Forked from salesforce/OmniXAI

    OmniXAI: A Library for eXplainable AI

    equitable-ai-research/OmniXAI-dash-app’s past year of commit activity
    Jupyter Notebook 0 BSD-3-Clause 97 0 0 Updated Jun 25, 2024
  • folktables Public Forked from socialfoundations/folktables

    Datasets derived from US census data

    equitable-ai-research/folktables’s past year of commit activity
    Python 0 MIT 18 0 0 Updated Jan 7, 2024
  • AIF360 Public Forked from Trusted-AI/AIF360

    A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

    equitable-ai-research/AIF360’s past year of commit activity
    Python 0 Apache-2.0 860 0 0 Updated Nov 29, 2023
  • fairlearn Public Forked from fairlearn/fairlearn

    A Python package to assess and improve fairness of machine learning models.

    equitable-ai-research/fairlearn’s past year of commit activity
    Python 0 MIT 432 0 0 Updated Oct 23, 2023
  • adversarial-robustness-toolbox Public Forked from Trusted-AI/adversarial-robustness-toolbox

    Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

    equitable-ai-research/adversarial-robustness-toolbox’s past year of commit activity
    Python 0 MIT 1,193 0 0 Updated May 31, 2023
  • inFairness Public Forked from IBM/inFairness

    PyTorch package to train and audit ML models for Individual Fairness

    equitable-ai-research/inFairness’s past year of commit activity
    Python 0 Apache-2.0 7 0 0 Updated Apr 13, 2023
  • lime Public Forked from marcotcr/lime

    Lime: Explaining the predictions of any machine learning classifier

    equitable-ai-research/lime’s past year of commit activity
    JavaScript 0 BSD-2-Clause 1,848 0 0 Updated Mar 3, 2023
  • awesome-fairness-papers Public Forked from uclanlp/awesome-fairness-papers

    Papers on fairness in NLP

    equitable-ai-research/awesome-fairness-papers’s past year of commit activity
    0 53 0 0 Updated Feb 28, 2023
  • fairMLHealth Public Forked from KenSciResearch/fairMLHealth

    Healthcare-specific tools for bias analysis

    equitable-ai-research/fairMLHealth’s past year of commit activity
    Jupyter Notebook 0 MIT 15 0 0 Updated Dec 22, 2022

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