SeldonIO / alibiLinks
Algorithms for explaining machine learning models
☆2,527Updated last week
Alternatives and similar repositories for alibi
Users that are interested in alibi are comparing it to the libraries listed below
Sorting:
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,413Updated 3 weeks ago
- Fit interpretable models. Explain blackbox machine learning.☆6,535Updated last week
- XAI - An eXplainability toolbox for machine learning☆1,179Updated 3 years ago
- Interpretability and explainability of data and machine learning models☆1,701Updated 4 months ago
- Algorithms for outlier, adversarial and drift detection☆2,390Updated 3 weeks ago
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆2,898Updated last week
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,471Updated 3 weeks ago
- moDel Agnostic Language for Exploration and eXplanation☆1,426Updated 4 months ago
- Feature engineering package with sklearn like functionality☆2,072Updated last month
- python partial dependence plot toolbox☆856Updated 9 months ago
- Source code/webpage/demos for the What-If Tool☆959Updated 9 months ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,772Updated 2 months ago
- OmniXAI: A Library for eXplainable AI☆932Updated 11 months ago
- Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.☆2,406Updated 2 weeks ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆804Updated 2 years ago
- A curated list of awesome responsible machine learning resources.☆3,805Updated this week
- A collection of research materials on explainable AI/ML