Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
☆682Jun 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- H2O.ai Machine Learning Interpretability Resources☆492Dec 12, 2020Updated 5 years ago
- A curated list of awesome responsible machine learning resources.☆4,029Mar 16, 2026Updated 2 months ago
- ☆916Mar 19, 2023Updated 3 years ago
- ☆38May 7, 2025Updated last year
- Materials for GWU DNSC 6279 and DNSC 6290.☆241May 27, 2025Updated 11 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- 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.☆6,852Updated this week
- XAI - An eXplainability toolbox for machine learning☆1,236Nov 29, 2025Updated 5 months ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,777Apr 8, 2026Updated last month
- Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!☆29Jul 13, 2019Updated 6 years ago
- Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…☆443Feb 7, 2025Updated last year
- Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.☆23Nov 19, 2019Updated 6 years ago
- Practical ideas on securing machine learning models☆37May 27, 2021Updated 4 years ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆812Jul 19, 2022Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Book about interpretable machine learning☆5,295Updated this week
- moDel Agnostic Language for Exploration and eXplanation☆1,467Jan 20, 2026Updated 4 months ago
- A game theoretic approach to explain the output of any machine learning model.☆25,431Updated this week
- Presentations from H2O meetups & conferences by the H2O.ai team☆406Oct 29, 2025Updated 6 months ago
- Interesting resources related to XAI (Explainable Artificial Intelligence)☆856May 31, 2022Updated 3 years ago
- Interpretability and explainability of data and machine learning models☆1,775Mar 18, 2026Updated 2 months ago
- Lime: Explaining the predictions of any machine learning classifier☆12,132Jul 25, 2024Updated last year
- Algorithms for explaining machine learning models☆2,628Oct 17, 2025Updated 7 months ago
- Guidelines for the responsible use of explainable AI and machine learning.☆17Jan 30, 2023Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,511Jul 13, 2025Updated 10 months ago
- ☆761Jul 18, 2023Updated 2 years ago
- python partial dependence plot toolbox☆862Sep 3, 2024Updated last year
- Paper and talk from KDD 2019 XAI Workshop☆20May 31, 2020Updated 5 years ago
- iml: interpretable machine learning R package☆503Feb 24, 2025Updated last year
- machine learning with logical rules in Python☆659Jan 31, 2024Updated 2 years ago
- All about explainable AI, algorithmic fairness and more☆110Sep 24, 2023Updated 2 years ago
- An open source python library for automated feature engineering☆7,646Feb 3, 2026Updated 3 months ago
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,397Feb 19, 2025Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- 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
- Bias Auditing & Fair ML Toolkit☆759May 12, 2026Updated last week
- A python library for decision tree visualization and model interpretation.☆3,146Jan 2, 2026Updated 4 months ago
- Submission for the FICO Explainable Machine Learning Challenge☆18Dec 3, 2020Updated 5 years ago
- ML-Ensemble – high performance ensemble learning☆866Nov 13, 2023Updated 2 years ago
- Uplift modeling and causal inference with machine learning algorithms☆5,841Updated this week
- MLBox is a powerful Automated Machine Learning python library.☆1,532Aug 6, 2023Updated 2 years ago