shap
align-transformers
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 |
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
-
Ethical and Bias Testing in Generative AI: A Practical Guide to Ensuring Ethical Conduct with Test Cases and Tools
Other tools like Fairness Indicators, Lime, and SHAP are also valuable resources for ethical and bias testing.
align-transformers
What are some alternatives?
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.