| Name | Version | Summary | date |
|---|---|---|---|
| fgclustering | 1.1.1 | Forest-Guided Clustering - Explainability method for Random Forest models. | 2024-11-19 17:13:43 |
| shapiq | 1.1.1 | Shapley Interactions for Machine Learning | 2024-11-13 11:36:24 |
| visual-graph-datasets | 0.15.7 | Datasets for the training of graph neural networks (GNNs) and subsequent visualization of attributional explanations of XAI methods | 2024-10-16 13:53:24 |
| explainableai | 0.10 | A comprehensive package for Explainable AI and model interpretation | 2024-10-13 06:48:03 |
| vgd-counterfactuals | 0.3.7 | Counterfactual explanations for GNNs based on the visual graph dataset format | 2024-09-13 13:07:57 |
| inseq | 0.6.0 | Interpretability for Sequence Generation Models 🔍 | 2024-04-13 13:37:37 |
| hour | day | week | total |
|---|---|---|---|
| 33 | 1633 | 10868 | 266051 |