Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
machine-learning
data-science
jupyter
ml
ui
explainable-ai
explainable-ml
fairness
fairness-ai
fairness-ml
interpretability
machinelearning
responsible-ai
visualization
widget
widgets
data-analysis
data-visualization
error-analysis
explainability
Обновлено 2024-08-07 04:34:48 +03:00
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
machine-learning
data-science
ml
visualization
jupyter
data-visualization
ui
machinelearning
widgets
data-analysis
explainable-ai
explainable-ml
fairness-ai
fairness-ml
interpretability
fairness
responsible-ai
explainability
widget
error-analysis
Обновлено 2024-08-07 04:34:48 +03:00
A Bayesian Neural Network with a horseshoe prior for improved interpretability
Обновлено 2023-06-27 16:00:15 +03:00
Neural net interpretability with Bayesian interpolants
Обновлено 2020-09-05 09:43:58 +03:00
Обновлено 2020-05-13 20:29:37 +03:00