| Name | Version | Summary | date |
| SIGN-XAI |
1.0.0 |
SIGNed explanations: Unveiling relevant features by reducing bias |
2023-07-10 10:35:24 |
| pertCF |
0.1.18 |
PertCF explainer is a counterfactual based XAI technique. |
2023-07-03 21:48:54 |
| araucanaxai |
0.9.4 |
A novel approach for generating explanations of the predictions of a generic ML model |
2023-06-21 08:21:42 |
| edgaro |
1.0.2.1 |
Explainable imbalanceD learninG compARatOr |
2023-06-16 20:12:55 |
| counterplots |
0.0.7 |
Plotting tool for counterfactual explanations |
2023-06-10 20:47:57 |
| tsem |
1.0.0 |
TSEM |
2023-06-02 14:38:59 |
| foxai |
0.6.0 |
Model Interpretability for PyTorch. |
2023-05-23 12:30:19 |
| pear-xai |
0.0.10 |
PEAR: Post-hoc Explainer Agreement Regularization |
2023-05-10 16:44:43 |
| 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 |
| tuw-nlp |
0.1.0 |
NLP tools at TUW Informatics |
2023-04-17 09:18:09 |
| fgclustering |
1.0.3 |
Forest-Guided Clustering - Explainability method for Random Forest models. |
2023-04-12 16:38:13 |
| noisegrad |
0.0.3 |
A explanation enhancement method. |
2023-04-09 22:02:54 |
| ixai |
0.1.3 |
Explainable Artificial Intelligence for dynamic and Incremental models. |
2023-01-18 15:23:56 |