Shap

Open-source projects categorized as Shap
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Language: + Python + Jupyter Notebook
Topics: Machine Learning explainability Data Science Interpretability explainable-ml
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Top 8 Shap Open-Source Projects

  • shap

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

    • Project mention: Shap v0.45.0 | news.ycombinator.com | 2024-03-08

  • mljar-supervised

    Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

    • Project mention: Show HN: Web App with GUI for AutoML on Tabular Data | news.ycombinator.com | 2023-08-24

    Web App is using two open-source packages that I've created:

    - MLJAR AutoML - Python package for AutoML on tabular data https://github.com/mljar/mljar-supervised

    - Mercury - framework for converting Jupyter Notebooks into Web App https://github.com/mljar/mercury

    You can run Web App locally. What is more, you can adjust notebook's code for your needs. For example, you can set different validation strategies or evalutaion metrics or longer training times. The notebooks in the repo are good starting point for you to develop more advanced apps.

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  • shapash

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

    • Project mention: GitHub - MAIF/shapash: Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models | /r/learnmachinelearning | 2023-06-26

  • explainerdashboard

    Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

    • Project mention: Help! Interviewing for ML and modern CV positions (plus a ML model explainer dashboard) | /r/OMSCS | 2023-05-11

  • FastTreeSHAP

    Fast SHAP value computation for interpreting tree-based models

  • powershap

    A power-full Shapley feature selection method.

  • awesome-shapley-value

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

  • SaaSHub

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  • xplainable

    Real-time explainable machine learning for business optimisation

    • Project mention: Explainable (Structured) Machine Learning Algorithm | /r/Python | 2023-12-05

    Just for some respite from the discussion of our soon-to-be AI overlords (LLMs), I'm one of the contributors to an open-source Python package, Xplainable (https://github.com/xplainable/xplainable). Xplainable is a novel (structured) machine learning algorithm that's inherently explainable, as opposed to being a post-hoc explainer (like SHAP or Lime).

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Shap related posts

Index

What are some of the best open-source Shap projects? This list will help you:

Project Stars
1 shap 21,677
2 mljar-supervised 2,941
3 shapash 2,648
4 explainerdashboard 2,228
5 FastTreeSHAP 493
6 powershap 180
7 awesome-shapley-value 133
8 xplainable 52

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