interpretml / interpret-community
Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.
☆421Updated 5 months ago
Related projects ⓘ
Alternatives and complementary repositories for interpret-community
- A library that implements fairness-aware machine learning algorithms☆124Updated 4 years ago
- machine learning with logical rules in Python☆625Updated 9 months ago
- Bias Auditing & Fair ML Toolkit☆694Updated 2 months ago
- python partial dependence plot toolbox☆845Updated 2 months ago
- Python implementation of the rulefit algorithm☆411Updated last year
- ⬛ Python Individual Conditional Expectation Plot Toolbox☆165Updated 4 years ago
- H2O.ai Machine Learning Interpretability Resources☆484Updated 3 years ago
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,365Updated 7 months ago
- Editing machine learning models to reflect human knowledge and values☆123Updated last year
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆673Updated 5 months ago
- Fast SHAP value computation for interpreting tree-based models☆522Updated last year
- A Python library for dynamic classifier and ensemble selection☆481Updated 7 months ago
- A Python package to assess and improve fairness of machine learning models.☆1,948Updated this week
- A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in …☆416Updated 9 months ago
- Python Accumulated Local Effects package☆158Updated last year
- Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…☆457Updated 3 weeks ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆799Updated 2 years ago
- OpenML AutoML Benchmarking Framework☆405Updated this week
- Library for Semi-Automated Data Science☆333Updated 2 months ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆283Updated last year
- Model Error Analysis for scikit-learn models.☆28Updated 2 years ago
- Code and documentation for experiments in the TreeExplainer paper☆179Updated 5 years ago
- Recipes for Driverless AI☆240Updated 2 weeks ago
- Project for open sourcing research efforts on Backward Compatibility in Machine Learning☆71Updated last year
- Source code/webpage/demos for the What-If Tool☆918Updated 2 months ago
- A toolkit that streamlines and automates the generation of model cards☆426Updated last year
- Human-explainable AI.☆514Updated 9 months ago
- A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.☆467Updated last year
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆100Updated 2 years ago
- All about explainable AI, algorithmic fairness and more☆107Updated last year