Graph-Native Infrastructure for Context and Accountable AI Systems
- ai
- ai-governance
- artificial-intelligence
- context-engineering
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Graph-Native Infrastructure for Context and Accountable AI Systems
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Interpretability and explainability of data and machine learning models
moDel Agnostic Language for Exploration and eXplanation
[CONTRIBUTORS WELCOME] Generalized Additive Models in Python
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
Build AI text detectors whose decisions are mechanistically grounded and human-auditable (EMNLP 2026)
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University