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fairness-ml
Here are 56 public repositories matching this topic...
Tensorflow's Fairness Evaluation and Visualization Toolkit
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Oct 15, 2020 - Python
The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows.
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Sep 15, 2020 - Scala
Fair Resource Allocation in Federated Learning (ICLR '20)
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Sep 27, 2020 - Python
Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584
python
data-science
machine-learning
ai
deep-learning
neural-network
jupyter-notebook
ml
pytorch
artificial-intelligence
convolutional-neural-network
fairness
interpretability
cdep
feature-importance
recurrent-neural-network
interpretable-deep-learning
explainable-ai
explainability
fairness-ml
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Oct 5, 2020 - Jupyter Notebook
FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
contrastive
counterfactual
explainable-ai
explainable-ml
xai
interpretable-machine-learning
fairness-ai
aif360
fairness-ml
alibi
prototypical
aix360
fairness-indicators
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Jun 5, 2020 - Jupyter Notebook
Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎 🤖 🧰
python
data-science
machine-learning
natural-language-processing
audit
artificial-intelligence
bias
fairness
bias-finder
ethics
bias-correction
machine-bias
bias-reduction
fairness-testing
fairness-awareness-model
fairness-ai
fairness-ml
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Oct 4, 2020 - Python
Flexible tool for bias detection, visualization, and mitigation
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Oct 14, 2020 - R
Talks & Workshops by the CODAIT team
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Sep 30, 2020 - Jupyter Notebook
Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
data-science
machine-learning
data-mining
transparency
fairness
accountability
interpretability
interpretable-ai
interpretable-ml
explainable-ai
explainable-ml
xai
fatml
interpretable-machine-learning
iml
machine-learning-interpretability
fairness-ai
fairness-ml
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Nov 19, 2019 - TeX
R package for computing measures of algorithmic fairness
machine-learning
r
fairness
discrimination
disparate-impact
algorithmic-fairness
fairness-ai
fairness-ml
algorithmic-discrimination
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Sep 15, 2020 - R
Article for Special Edition of Information: Machine Learning with Python
python
data-science
machine-learning
interpretable-ai
interpretable-ml
explainable-ai
explainable-ml
xai
fatml
fairness-testing
interpretable-machine-learning
iml
machine-learning-interpretability
fairness-ai
fairness-ml
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May 6, 2020 - Jupyter Notebook
Open
How to contribute?
9
Faldict
commented
Jul 9, 2020
Hello,
I find it is really an interesting project, and I would like to make some contribution. What can I start with?
Awesome list of AI Fairness tools, research papers, tutorials and any other relevant materials. For use by data scientists, AI engineers and policymakers alike.
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Mar 15, 2019
Tilted Empirical Risk Minimization
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Sep 27, 2020 - Python
Source code for KDD 2020 paper "Algorithmic Decision Making with Conditional Fairness".
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Sep 4, 2020 - Python
Code to accompany 2019 paper.
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Mar 1, 2019 - Python
Package for evaluating the performance of methods which aim to increase fairness, accountability and/or transparency
data-science
machine-learning
computer-vision
toolkit
pytorch
fairness
ethical-artificial-intelligence
machine-bias
ethical-data-science
fairness-awareness-model
algorithmic-fairness
fairness-ai
fairness-ml
responsible-ai
fairness-assessment
fairness-comparison
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Oct 13, 2020 - Python
Trying out things on Kaggle's Titanic dataset
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May 22, 2019 - Jupyter Notebook
Official implementation of our work "Collaborative Fairness in Federated Learning."
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Sep 10, 2020 - Jupyter Notebook
A curated list of awesome algorithmic fairness resources.
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Sep 5, 2019
FATED: Fairness, Accountability, and Transparency in Educational Data
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Aug 6, 2020 - HTML
Implementation and supporting materials for the paper Multi-Criteria Dimensionality Reduction with Applications to Fairness, NeurIPS2019 and extend the prior work "The Price of Fair PCA: One Extra Dimension"
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May 20, 2020 - Jupyter Notebook
Code for ICML 2019 paper titled "On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning"
machine-learning
ai
icml
explainable-ml
social-learning
interpretable-machine-learning
fairness-ml
icml-2019
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May 14, 2019 - Python
Machine Learning Bias Mitigation
machine-learning
ai-safety
machine-learning-models
bias-correction
fairness-testing
fairness-ai
fairness-ml
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Oct 9, 2020 - Jupyter Notebook
Federated learning models
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Oct 6, 2020 - Jupyter Notebook
Variational Fair clustering
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Sep 27, 2020 - Python
Binary classification algorithm under fairness considerations.
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Jul 6, 2020 - Python
Tensorflow implementation of Learning Not to Learn (CVPR 2019)
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Mar 24, 2020 - Python
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Our documentation:
https://fairlearn.readthedocs.io/en/latest/index.html
does not consistently provide links to definitions of Estimators (which should come from
sklearn),numpy.ndarrayandpandas. These should be remedied.