identifiable-transformers

? Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

Evaluation and Tracking for LLM Experiments

A collection of research papers and software related to explainability in graph machine learning.

A library for graph deep learning research

Interpretability and explainability of data and machine learning models

A Structured Self-attentive Sentence Embedding

A generalized gradient-based CNN visualization technique

GraphXAI: Resource to support the development and evaluation of GNN explainers

A list of (post-hoc) XAI for time series

Amazon SageMaker Solution for explaining credit decisions.