jphall663 / interpretable_machine_learning_with_pythonLinks
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
☆681Updated 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☆489Updated 4 years ago
- python partial dependence plot toolbox☆860Updated 11 months ago
- ☆915Updated 2 years ago
- XAI - An eXplainability toolbox for machine learning☆1,195Updated 3 years ago
- Bias Auditing & Fair ML Toolkit☆727Updated 3 months ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆808Updated 3 years ago
- Code to compute permutation and drop-column importances in Python scikit-learn models☆619Updated 5 months ago
- Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…☆434Updated 6 months ago
- Production Data Science: a workflow for collaborative data science aimed at production☆454Updated 5 years ago
- Interesting resources related to XAI (Explainable Artificial Intelligence)☆839Updated 3 years ago
- A Python library for dynamic classifier and ensemble selection☆491Updated last year
- ML-Ensemble – high performance ensemble learning☆860Updated last year
- ☆759Updated 2 years ago
- Data Analysis Baseline Library☆728Updated 8 months ago
- machine learning with logical rules in Python☆644Updated last year
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,436Updated last month
- Notebook and slides for my talk at Pydata NYC 2018☆88Updated last year
- Materials for GWU DNSC 6279 and DNSC 6290.☆239Updated 2 months ago
- Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms☆634Updated 2 years ago
- moDel Agnostic Language for Exploration and eXplanation☆1,437Updated 3 weeks ago
- ⬛ Python Individual Conditional Expectation Plot Toolbox☆165Updated 5 years ago
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are look…☆439Updated last year
- Python package for stacking (machine learning technique)☆694Updated last year
- WTTE-RNN a framework for churn and time to event prediction☆778Updated 5 years ago
- Python implementation of the rulefit algorithm☆424Updated last year
- A general-purpose framework for solving problems with machine learning applied to predicting customer churn☆414Updated last year
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,775Updated 4 months ago
- Recipes for Driverless AI☆251Updated last month
- ☆366Updated 4 years ago
- A library that implements fairness-aware machine learning algorithms☆126Updated 4 years ago