Repository Index

A game theoretic approach to explain the output of any machine learning model.

• interpretability
• machine-learning
• deep-learning
• gradient-boosting

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

• deep-learning
• pytorch
• grad-cam
• visualizations

Fit interpretable models. Explain blackbox machine learning.

• machine-learning
• interpretability
• gradient-boosting
• blackbox

A curated list of awesome responsible machine learning resources.

• fairness
• xai
• interpretability
• transparency

StellarGraph - Machine Learning on Graphs

• graphs
• machine-learning
• machine-learning-algorithms
• graph-convolutional-networks

Algorithms for explaining machine learning models

• machine-learning
• explanations
• interpretability
• counterfactual

Interpretability and explainability of data and machine learning models

• explainable-ai
• explainable-ml
• trusted-ai
• trusted-ml

moDel Agnostic Language for Exploration and eXplanation

• machine-learning
• interpretability
• data-science
• xai

An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.

• ai
• code
• datasets
• devops

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

• python
• machine-learning
• random-forest
• tensorflow

A curated list of awesome Fairness in AI resources

• fairness
• machine-learning
• deep-learning
• gender-bias

⬛ Python Individual Conditional Expectation Plot Toolbox

• machine-learning
• interpretability

Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University

• interpretability
• machine-learning
• contrastive-explanations
• foil