Awesome Open Source

Programming Languages

Search results for explainability shap

explainability x

11 search results found

Shap ⭐ 22,028

A game theoretic approach to explain the output of any machine learning model.

Shapash ⭐ 2,547

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

Timeshap ⭐ 127

TimeSHAP explains Recurrent Neural Network predictions.

Treeshap ⭐ 72

Compute SHAP values for your tree-based models using the TreeSHAP algorithm

Awesome Shapley Value ⭐ 63

Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)

Modeling Uncertainty Local Explainability ⭐ 16

Local explanations with uncertainty 💐!

Streamlit Shap ⭐ 10

streamlit-shap provides a wrapper to display SHAP plots in Streamlit.

Explainability_for_photonics ⭐ 5

Here, we use Deep SHAP (or SHAP) to explain the behavior of nanophotonic structures learned by a convolutional neural network (CNN). Reference: https://pubs.acs.org/doi/full/10.1021/acsphotonics

Counterfactual SHAP: a framework for counterfactual feature importance

A methodology designed to measure the contribution of the features to the predictive performance of any econometric or machine learning model.

1-11 of 11 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.