jphall663 / awesome-machine-learning-interpretabilityLinks
A curated list of awesome responsible machine learning resources.
☆3,886Updated 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☆1,568Updated 3 weeks ago
- ☆916Updated 2 years ago
- Interesting resources related to XAI (Explainable Artificial Intelligence)☆840Updated 3 years ago
- Interpretability and explainability of data and machine learning models☆1,742Updated 8 months ago
- XAI - An eXplainability toolbox for machine learning☆1,202Updated 4 years ago
- Algorithms for explaining machine learning models☆2,571Updated last week
- Fit interpretable models. Explain blackbox machine learning.☆6,699Updated this week
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆680Updated last year
- This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and b…☆1,370Updated 9 months ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,772Updated 6 months ago
- H2O.ai Machine Learning Interpretability Resources☆489Updated 4 years ago
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,457Updated 3 months ago
- A curated list of gradient boosting research papers with implementations.☆1,031Updated last year
- Code for "High-Precision Model-Agnostic Explanations" paper☆809Updated 3 years ago
- moDel Agnostic Language for Exploration and eXplanation (JMLR 2018; JMLR 2021)☆1,445Updated last week
- A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitig…☆2,675Updated last week
- Lime: Explaining the predictions of any machine learning classifier☆12,021Updated last year
- A Python package to assess and improve fairness of machine learning models.☆2,141Updated this week
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,505Updated 2 months ago
- A collection of research papers on decision, classification and regression trees with implementations.☆2,427Updated last year
- Model interpretability and understanding for PyTorch☆5,435Updated this week
- A curated list of articles that cover the software engineering best practices for building machine learning applications.☆1,317Updated last year
- Bias Auditing & Fair ML Toolkit☆730Updated 3 weeks ago
- A library of sklearn compatible categorical variable encoders☆2,466Updated 4 months ago
- python partial dependence plot toolbox☆861Updated last year
- A scikit-learn compatible neural network library that wraps PyTorch☆6,124Updated this week
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,379Updated 8 months ago
- PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.☆844Updated 8 months ago
- Curating a list of AutoML-related research, tools, projects and other resources☆903Updated 2 months ago
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆5,079Updated 4 months ago