shap VS align-transformers

Compare shap vs align-transformers and see what are their differences.

shap

A game theoretic approach to explain the output of any machine learning model. [Moved to: https://github.com/shap/shap] (by slundberg)

align-transformers

This is an old library. Try pyvene instead! (by frankaging)
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shap align-transformers
1 1
20,121 0
- -
10.0 10.0
8 months ago 4 months ago
Jupyter Notebook Jupyter Notebook
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

shap

Posts with mentions or reviews of shap. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-18.

align-transformers

Posts with mentions or reviews of align-transformers. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing shap and align-transformers you can also consider the following projects:

csgo-impact-rating - A probabilistic player rating system for Counter Strike: Global Offensive, powered by machine learning

imodels - Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

transformers-interpret - Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

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

lime - Lime: Explaining the predictions of any machine learning classifier

augmented-interpretable-models - Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.

awesome-shapley-value - Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)

lucid - A collection of infrastructure and tools for research in neural network interpretability.

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