jphall663 / awesome-machine-learning-interpretabilityLinks
A curated list of awesome responsible machine learning resources.
☆3,805Updated last week
Alternatives and similar repositories for awesome-machine-learning-interpretability
Users that are interested in awesome-machine-learning-interpretability are comparing it to the libraries listed below
Sorting:
- A collection of research materials on explainable AI/ML☆1,513Updated 3 months ago
- ☆916Updated 2 years ago
- Interesting resources related to XAI (Explainable Artificial Intelligence)☆831Updated 3 years ago
- XAI - An eXplainability toolbox for machine learning☆1,179Updated 3 years ago
- Fit interpretable models. Explain blackbox machine learning.☆6,535Updated last week
- Interpretability and explainability of data and machine learning models☆1,703Updated 4 months ago
- Algorithms for explaining machine learning models☆2,527Updated 2 weeks ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆681Updated last year
- Lime: Explaining the predictions of any machine learning classifier☆11,914Updated 11 months ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,772Updated 2 months ago
- H2O.ai Machine Learning Interpretability Resources☆489Updated 4 years ago
- This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and b…☆1,337Updated 5 months ago
- A scikit-learn compatible neural network library that wraps PyTorch☆6,059Updated 2 weeks ago
- Book about interpretable machine learning☆4,999Updated 2 months ago
- moDel Agnostic Language for Exploration and eXplanation☆1,426Updated 4 months ago
- Model interpretability and understanding for PyTorch☆5,278Updated this week
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,413Updated 3 weeks ago
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,006Updated last week
- A Python package to assess and improve fairness of machine learning models.☆2,087Updated last month
- Code for "High-Precision Model-Agnostic Explanations" paper☆804Updated 2 years ago
- A game theoretic approach to explain the output of any machine learning model.☆24,040Updated this week
- Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.☆2,406Updated 2 weeks ago
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning☆18,649Updated 3 weeks ago
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,353Updated 4 months ago
- ✍️ A carefully curated list of NLP paper summaries☆1,479Updated 3 years ago
- PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.☆831Updated 4 months ago
- python partial dependence plot toolbox☆856Updated 9 months ago
- A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitig…☆2,602Updated 6 months ago
- A curated list of articles that cover the software engineering best practices for building machine learning applications.☆1,286Updated last year
- A library of sklearn compatible categorical variable encoders☆2,449Updated last week