29 dependents
| Package | Description | Downloads/month |
|---|---|---|
| A game theoretic approach to explain the output of any machine learning model. | 14.5M | |
| Details about the package | 5K | |
| Code from the book Fighting Churn With Data | 2K | |
| 2K | ||
| FeatureFlex: efficient and lightweight library for feature selection, designed t... | 1K | |
| Zoish is a Python package that streamlines machine learning by leveraging SHAP v... | 1K | |
| 940 | ||
| A distributed hydrology-guided neural network model for streamflow prediction | 839 | |
| Contextualizing model's decisions with natural language explanations. | 702 | |
| The Intelligent Bark Beetle Identifier (IBBI) is a Python package that provides ... | 487 | |
| Add your description here | 429 | |
| Machine Learning and Graph based tool for detecting and analyzing Bone-Muscle In... | 278 | |
| A package for simulating quantum dot behavior and analyzing energy levels | 215 | |
| 212 | ||
| a package for backtesting and factor analysis | 187 | |
| Fit interpretable machine learning models. Explain blackbox machine learning. | 176 | |
| FeatureFlex: efficient and lightweight library for feature selection, designed t... | 169 | |
| Automated Conditional Average Treatment Effect Estimation | 166 | |
| Get the causal_forecast analysis | 157 | |
| 153 | ||
| This package is an extension of the KernelExplainer of shap package that explain... | 139 | |
| Demo of a Caipi-like system for explanatory interactive learning. | 125 | |
| GEFormer is a genome-wide prediction model for genotype-environment interactions... | 118 | |
| A stripped and opiniated version of Scott Lundberg's SHAP (SHapley Additive exPl... | 113 | |
| FTIR/ToF-SIMS Spectral Analysis Suite - Preprocessing toolkit for spectral class... | 79 | |
| 74 | ||
| An offline fork of https://pypi.org/project/shap/, which exists to allow SHAP to... | 67 | |
| A game theoretic approach to explain the output of any machine learning model. | 63 | |
| The Data Transformation and Machine Learning Accelerator | 48 |
