Open Source AI Tools

Training PyTorch models with differential privacy

Interpretability and explainability of data and machine learning models

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.

A model-agnostic visual debugging tool for machine learning

A framework for Privacy Preserving Machine Learning

moDel Agnostic Language for Exploration and eXplanation

Tribuo - A Java machine learning library

A toolbox to iNNvestigate neural networks' predictions!

Support for using OpenFeign in Spring Cloud apps

Model analysis tools for TensorFlow

A Framework for Encrypted Machine Learning in TensorFlow

XAI - An eXplainability toolbox for machine learning