responsible-ml

There are 2 repositories under responsible-ml topic.

DALEX
ModelOriented / DALEX
moDel Agnostic Language for Exploration and eXplanation
machine-learning interpretability data-science xai iml model-visualization dalex explanations explainable-ai explainable-artificial-intelligence predictive-modeling black-box explainable-ml interpretable-machine-learning explanatory-model-analysis responsible-ai responsible-ml fairness
Language:Python 1334
tensorflow / model-card-toolkit
A toolkit that streamlines and automates the generation of model cards
deep-learning machine-learning model-cards responsible-ai responsible-ml tensorflow transparency
Language:Python 404
ModelOriented / treeshap
Compute SHAP values for your tree-based models using the TreeSHAP algorithm
explainability explainable-ai explainable-artificial-intelligence explanatory-model-analysis iml interpretability interpretable-machine-learning machine-learning responsible-ml shap shapley-value xai
Language:R 75
microsoft / responsible-ai-toolbox-mitigations
Python library for implementing Responsible AI mitigations.
data-analysis data-science machine-learning python responsible-ai responsible-ml
Language:Jupyter Notebook 51
serodriguez68 / designing-ml-systems-summary
A detailed summary of "Designing Machine Learning Systems" by Chip Huyen. This book gives you and end-to-end view of all the steps required to build AND OPERATE ML products in production. It is a must-read for ML practitioners and Software Engineers Transitioning into ML.
artificial-intelligence data-distribution feature-engineering feature-store machine-learning mlops model-selection model-store responsible-ai responsible-ml
50
microsoft / AutoBrewML
With AutoBrewML Framework the time it takes to get production-ready ML models with great ease and efficiency highly accelerates.
microsoft responsible-ml data-science datavisualization cleansing-data sampling-strategies anomaly-detection azure-automl machine-learning text-analysis text-summarization text-classification nlp-machine-learning
Language:Jupyter Notebook 24
google-research-datasets / aart-ai-safety-dataset
AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications
ai-safety ml-fairness responsible-ai responsible-ml
6
carpentries-incubator / machine-learning-responsible-python
Introduction to responsible machine learning with Python
lesson pre-alpha machine-learning python english responsible-ai responsible-ml ml
Language:Python 4
MI2DataLab / rai-covid
Responsible Prediction Making of COVID-19 Mortality (AAAI 2021)
responsible-ai explainable-ai explainability responsibility responsible-ml machine-learning artificial-intelligence covid-19 covid covid19
3
ngatilio / CertEye
Zero Trust AI 360
ai aiaudit aiobservability aiops aiprivacy aisecurity artificial-intelligence drift-detection ethicsops llmops machine-learning mlaudit mlobservability mlops mlprivacy mlsecurity responsible-ai responsible-ml saas xops
Language:TypeScript 3
equity-in-ai-guide
Paritii-LLC / equity-in-ai-guide
AI Equity Guide
data-science equity machine-learning ml responsible-ai responsible-ml
Language:Jupyter Notebook 0
codesue / model-card-toolkit
A toolkit that streamlines and automates the generation of model cards
deep-learning machine-learning model-cards responsible-ai responsible-ml tensorflow transparency
Language:Python
trustworthy-ml-course / trustworthy-ml-course.github.io
Trustworthy AI/ML course by Professor Birhanu Eshete, University of Michigan, Dearborn.
adversarial-machine-learning algorithmic-fairness algorithmic-transparency explainable-artificial-intelligence fairness-ai fairness-ml privacy-preserving-machine-learning responsible-ai robust-machine-learning trustworthy-ai trustworthy-machine-learning responsible-ml
Language:HTML