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☆856Updated 9 months ago
- Code for "High-Precision Model-Agnostic Explanations" paper☆804Updated 2 years ago
- Code to compute permutation and drop-column importances in Python scikit-learn models☆616Updated 3 months ago
- Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world d…☆431Updated 4 months ago
- XAI - An eXplainability toolbox for machine learning☆1,179Updated 3 years ago
- ML-Ensemble – high performance ensemble learning☆858Updated last year
- machine learning with logical rules in Python☆639Updated last year
- Python implementation of the rulefit algorithm☆420Updated last year
- Bias Auditing & Fair ML Toolkit☆722Updated last month
- WTTE-RNN a framework for churn and time to event prediction☆774Updated 4 years ago
- ☆760Updated last year
- All about explainable AI, algorithmic fairness and more☆109Updated last year
- Data Analysis Baseline Library☆727Updated 6 months ago
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,413Updated 3 weeks ago
- moDel Agnostic Language for Exploration and eXplanation☆1,426Updated 4 months ago
- ⬛ Python Individual Conditional Expectation Plot Toolbox☆165Updated 5 years ago
- A Python library for dynamic classifier and ensemble selection☆487Updated last year
- Materials for GWU DNSC 6279 and DNSC 6290.☆239Updated 3 weeks ago
- Python package for Imputation Methods☆248Updated last year
- Causal Inference in Python☆568Updated this week
- A collection of Bayesian data analysis recipes using PyMC3☆560Updated last year
- A template for scikit-learn extensions☆333Updated 4 months ago
- Interesting resources related to XAI (Explainable Artificial Intelligence)☆831Updated 3 years ago
- Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras☆242Updated 6 years ago
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are look…☆437Updated 10 months ago
- Extra blocks for scikit-learn pipelines.☆1,345Updated this week
- Personal data science and machine learning toolbox☆365Updated 5 years ago
- Python implementations of the Boruta all-relevant feature selection method.☆1,577Updated 10 months ago
- A library that implements fairness-aware machine learning algorithms☆124Updated 4 years ago