aif360

There are 0 repository under aif360 topic.

firmai / ml-fairness-framework
FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
fairness-ml fairness-ai fairness-indicators explainable-ai xai explainable-ml interpretable-machine-learning contrastive prototypical aif360 alibi aix360 counterfactual
Language:Jupyter Notebook 72
Trusted-AI-Workshops
IBMDeveloperUK / Trusted-AI-Workshops
Introduction to trusted AI. Learn to use fairness algorithms to reduce and mitigate bias in data and models with aif360 and explain models with aix360
ai-fairness aif360 jupyter-notebooks bias-metrics machine-learning python watson-studio data-science aix360 ai-explainability fairness-algorithms bias-measurement
Language:Jupyter Notebook 13
garethjns / Kaggle-Titanic
Trying out things on Kaggle's Titanic dataset
kaggle-titanic lightgbm fairness-ml aif360 sklearn
Language:Jupyter Notebook 6
kennethleungty / Responsible-AI-Masterclass
Responsible AI Masterclass (June 2024 Run)
ai aif360 artificial-intelligence bcg data-science gen-ai generative-ai machine-learning nemo-guardrails rai responsible-ai veritas
4
IBMDeveloperMEA / AI-Ethics
Fairness in data, and machine learning algorithms is critical to building safe and responsible AI systems from the ground up by design. Both technical and business AI stakeholders are in constant pursuit of fairness to ensure they meaningfully address problems like AI bias. While accuracy is one metric for evaluating the accuracy of a machine learning model, fairness gives us a way to understand the practical implications of deploying the model in a real-world situation.
ai-ethics ai-explainability ibm-cloud aif360 ai-fairness machine-learning explainable-ai fair-ml
3
chychiang / fairness-with-julia-and-py
This repo contains two jupyter notebooks that demonstrates how to identify and correct algorithmic bias in machine learning models using Python and Julia.
aif360 fairness julia python debiasing
Language:Jupyter Notebook 0
jnirschl / detecting-mitigating-bias-base
This notebook represents my personal code, notes, and reflections for the Manning liveProject titled "Mitigate Machine Learning Bias: Shap and AIF360" by Michael McKenna. Any citations or references to original course material retain the original author copyright and ownership. Personal code is licensed under the MIT License.
aif360 fairness-ai ethics machine-learning
Language:Jupyter Notebook 0
mateuszkasprowicz / fairness-toolkits
Evaluating Fairness in Machine Learning: Comparative Analysis of Fairlearn and AIF360
aif360 catboost fairlearn fairness scikit-learn
Language:Jupyter Notebook 0
rishabhpatel9 / MSc-Final-Project
Gender classification model that uses a CNN to classify images of faces as male or female. The notebook includes code for data preprocessing, model architecture, training, and evaluation which will then be used for algorithmic bias detection.
aif360 bias-mitigation cnn face-recognition gender-classification machine-learning
Language:Jupyter Notebook 0
rud-ninja / Accuracy-vs-Fairness-ML
Visualising Accuracy vs. Fairness in ML models using AIF360 tools and dataset
adult-dataset aif360 classification-modeling fairness-ml random-forest-classifier svm-classifier
Language:Jupyter Notebook 0
adrinjalali / aif360_tutorial
Building Fair AI models tutorial at PyData Berlin / REVISION 2018
aif360 fat-ml tutorial fairness fairness-ai
Language:Jupyter Notebook

aif360

firmai / ml-fairness-framework

IBMDeveloperUK / Trusted-AI-Workshops

garethjns / Kaggle-Titanic

kennethleungty / Responsible-AI-Masterclass

IBMDeveloperMEA / AI-Ethics

chychiang / fairness-with-julia-and-py

jnirschl / detecting-mitigating-bias-base

mateuszkasprowicz / fairness-toolkits

rishabhpatel9 / MSc-Final-Project

rud-ninja / Accuracy-vs-Fairness-ML

adrinjalali / aif360_tutorial