| Name | Version | Summary | date |
| eazyml-xai |
0.0.65 |
eazyml-xai provides APIs for explainable AI (XAI), offering human-readable explanations, feature importance, and predictive reasoning. |
2025-02-27 15:51:36 |
| bias-lens |
0.0.2 |
A library for bias detection and explainable AI methods in NLP models. |
2025-02-23 08:16:06 |
| eazyml-cf |
0.0.45 |
eazyml-cf provides APIs for counterfactual explanations, prescriptive analytics, and actionable insights to optimize predictive outcomes. |
2025-02-22 04:05:26 |
| ruleopt |
1.1.2 |
Optimization-Based Rule Learning for Classification |
2025-01-29 19:30:35 |
| obliquetree |
1.0.1 |
Traditional and Oblique Decision Tree |
2025-01-09 10:38:00 |
| treemind |
0.1.1 |
feature and feature interaction analyzer for gradient boosting |
2024-11-17 16:44:01 |
| openvino-xai |
1.1.0 |
OpenVINO™ Explainable AI (XAI) Toolkit: Visual Explanation for OpenVINO Models |
2024-10-02 08:27:22 |
| xai4mri |
0.0.1 |
xai4mri is designed for advanced MRI analysis using deep learning combined with explainable A.I. (XAI). |
2024-09-26 23:58:43 |
| locking-activations |
0.1.0 |
Locking activations via k-sparse autoencoders. |
2024-09-17 12:06:40 |
| topsearch |
0.0.3 |
A Python package for topographical analysis of machine learning models and physical systems |
2024-04-24 10:34:46 |