pronics2004

deeplybayesian.github.io

granite-guardian

The Granite Guardian models are designed to detect risks in prompts and responses.

UQ360

Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.

AIX360

Open Source library to support interpretability and explainability of data and machine learning models

deeplybayesian.github.io

pronics2004.github.io

self-instruct

Aligning pretrained language models with instruction data generated by themselves.

UQ360

This is the repo for Uncertainty Quantification 360 Toolkit.

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.

AIX360

Interpretability and explainability of data and machine learning models

pronics2004/UQ360

This is the repo for Uncertainty Quantification 360 Toolkit.

pronics2004/AIX360

Open Source library to support interpretability and explainability of data and machine learning models

pronics2004/deeplybayesian.github.io

pronics2004/pronics2004.github.io

pronics2004/self-instruct

Aligning pretrained language models with instruction data generated by themselves.