| Name | Version | Summary | date |
| slisemap |
1.6.2 |
SLISEMAP: Combine local explanations with supervised dimensionality reduction |
2024-04-30 09:09:37 |
| visual-graph-datasets |
0.15.2 |
Datasets for the training of graph neural networks (GNNs) and subsequent visualization of attributional explanations of XAI methods |
2024-03-11 13:32:32 |
| py-ciu |
0.5.0.1 |
Python implementation of the Contextual Importance and Utility (CIU) explainable AI method |
2024-02-22 16:32:22 |
| py-ciu-image |
0.1.1 |
Python implementation of the Contextual Importance and Utility (CIU) explainable AI method for image classification |
2024-02-17 14:43:30 |
| py.ciu.image |
0.1.0.1 |
Python implementation of the Contextual Importance and Utility (CIU) explainable AI method for image classification |
2024-02-14 17:38:36 |
| easy-explain |
0.5.0 |
A library that helps to explain AI models in a really quick & easy way |
2024-02-12 14:27:32 |
| vgd-counterfactuals |
0.3.6 |
Counterfactual explanations for GNNs based on the visual graph dataset format |
2024-02-09 15:30:38 |
| Karys-crazy-test |
0.5.0 |
Python implementation of the Contextual Importance and Utility (CIU) explainable AI method |
2024-01-26 14:27:36 |
| quantus |
0.5.3 |
A metrics toolkit to evaluate neural network explanations. |
2023-12-05 11:42:49 |
| vgd_counterfactuals |
0.3.5 |
Counterfactual explanations for GNNs based on the visual graph dataset format |
2023-11-14 14:15:47 |
| metaquantus |
0.0.5 |
MetaQuantus is a XAI performance tool for identifying reliable metrics. |
2023-09-13 09:32:57 |
| xai-kit |
0.0.7 |
Explainable Artificial Intelligence (XAI) Library |
2023-09-10 23:25:22 |
| xaiz |
0.0.3 |
Explainable Artificial Intelligence (XAI) Library |
2023-09-09 17:29:21 |
| revelionn |
1.0.2 |
Retrospective Extraction of Visual and Logical Insights for Ontology-based interpretation of Neural Networks |
2023-09-04 01:27:09 |
| itershap |
0.1.1 |
Iterative feature selection method using SHAP values |
2023-08-16 08:56:45 |
| cpath |
0.0.1 |
Explainable AI with counterfactual paths |
2023-07-25 07:35:17 |
| foxai |
0.6.0 |
Model Interpretability for PyTorch. |
2023-05-23 12:30:19 |
| adept-augmentations |
0.1 |
A Python library aimed at adeptly, augmenting NLP training data. |
2023-05-08 09:10:03 |
| transformers-gradients |
0.0.29 |
Gradient-based XAI methods for TensorFlow transformers. |
2023-05-04 15:13:11 |
| fgclustering |
1.0.3 |
Forest-Guided Clustering - Explainability method for Random Forest models. |
2023-04-12 16:38:13 |