© 2026 AI 2030 | All Rights Reserved
Discover and explore the most popular open source AI and machine learning tools from GitHub
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
A Framework for Encrypted Machine Learning in TensorFlow
XAI - An eXplainability toolbox for machine learning
Interpretability Methods for tf.keras models with Tensorflow 2.x
Diffprivlib: The IBM Differential Privacy Library
Leave One Feature Out Importance
A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)