Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
☆680Jun 17, 2024Updated last year
Alternatives and similar repositories for interpretable_machine_learning_with_python
Users that are interested in interpretable_machine_learning_with_python are comparing it to the libraries listed below
Sorting:
- H2O.ai Machine Learning Interpretability Resources☆491Dec 12, 2020Updated 5 years ago
- A curated list of awesome responsible machine learning resources.☆3,988Feb 18, 2026Updated last week
- ☆916Mar 19, 2023Updated 2 years ago
- ☆38May 7, 2025Updated 9 months ago
- Materials for GWU DNSC 6279 and DNSC 6290.☆240May 27, 2025Updated 9 months ago
- Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/☆27Jun 17, 2024Updated last year
- Fit interpretable models. Explain blackbox machine learning.☆6,802Updated this week
- XAI - An eXplainability toolbox for machine learning☆1,226Nov 29, 2025Updated 3 months ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,772Feb 10, 2026Updated 2 weeks ago
- Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.☆22Nov 19, 2019Updated 6 years ago
- Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…☆441Feb 7, 2025Updated last year
- Practical ideas on securing machine learning models☆37May 27, 2021Updated 4 years ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆814Jul 19, 2022Updated 3 years ago
- Book about interpretable machine learning☆5,233Jan 15, 2026Updated last month
- Interpretability and explainability of data and machine learning models☆1,761Feb 26, 2025Updated last year
- Guidelines for the responsible use of explainable AI and machine learning.☆17Jan 30, 2023Updated 3 years ago
- Algorithms for explaining machine learning models☆2,612Oct 17, 2025Updated 4 months ago
- moDel Agnostic Language for Exploration and eXplanation☆1,457Jan 20, 2026Updated last month
- A game theoretic approach to explain the output of any machine learning model.☆25,072Feb 20, 2026Updated last week
- Presentations from H2O meetups & conferences by the H2O.ai team☆408Oct 29, 2025Updated 4 months ago
- Lime: Explaining the predictions of any machine learning classifier☆12,101Jul 25, 2024Updated last year
- ☆761Jul 18, 2023Updated 2 years ago
- machine learning with logical rules in Python☆658Jan 31, 2024Updated 2 years ago
- Interesting resources related to XAI (Explainable Artificial Intelligence)☆849May 31, 2022Updated 3 years ago
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,499Jul 13, 2025Updated 7 months ago
- Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!☆29Jul 13, 2019Updated 6 years ago
- python partial dependence plot toolbox☆863Sep 3, 2024Updated last year
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,395Feb 19, 2025Updated last year
- An open source python library for automated feature engineering☆7,614Feb 3, 2026Updated 3 weeks ago
- A python library for decision tree visualization and model interpretation.☆3,124Jan 2, 2026Updated last month
- ML-Ensemble – high performance ensemble learning☆863Nov 13, 2023Updated 2 years ago
- Uplift modeling and causal inference with machine learning algorithms☆5,747Updated this week
- This is a repo for all the tutorials put out by H2O.ai. This includes learning paths for Driverless AI, H2O-3, Sparkling Water and more..…☆135Aug 2, 2024Updated last year
- Tutorials and training material for the H2O Machine Learning Platform☆1,501Oct 24, 2024Updated last year
- Bias Auditing & Fair ML Toolkit☆750Feb 3, 2026Updated 3 weeks ago
- Paper and talk from KDD 2019 XAI Workshop☆20May 31, 2020Updated 5 years ago
- iml: interpretable machine learning R package☆501Feb 24, 2025Updated last year
- All about explainable AI, algorithmic fairness and more☆110Sep 24, 2023Updated 2 years ago
- A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitig…☆2,751Nov 13, 2025Updated 3 months ago