16 dependents
| Package | Description | Downloads/month |
|---|---|---|
| Core modules for AntakIA | 2K | |
| Actionable Counterfactual eXplanations | 2K | |
| Fit Fast, Explain Fast | 1K | |
| Implementation of DNAMite, an interpretable model for survival analysis and more... | 875 | |
| Better insights into Machine Learning models performance | 727 | |
| A machine learning pipeline for variant prioritisation using Exomiser output. | 635 | |
| Machine Learning flowing from start to finish | 501 | |
| Microsoft Interpret Vision SDK for Python | 300 | |
| low-code ML model comparison, tuning and stacking | 274 | |
| Automated interpretable ML tool with SQL version of model | 204 | |
| Microsoft Interpret Image SDK for Python | 166 | |
| Helper modules for AI Engineering Interpretability Bootcamp implementations | 110 | |
| Disentangling Interactions and Dependencies (DIP) Decomposition. | 100 | |
| Microsoft Interpret Recommenders SDK for Python | 80 | |
| Analysis of brains structural and functional connectomes from the Human Connecto... | 79 | |
| Automatically finding surprises in EHRs | 71 |
