ModelOriented / DALEX
moDel Agnostic Language for Exploration and eXplanation
β1,408Updated 2 weeks ago
Alternatives and similar repositories for DALEX:
Users that are interested in DALEX are comparing it to the libraries listed below
- DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanatioβ¦β685Updated 2 years ago
- Interpretable ML package π for concise, transparent, and accurate predictive modeling (sklearn-compatible).β1,430Updated last week
- Generate Diverse Counterfactual Explanations for any machine learning model.β1,385Updated 3 months ago
- H2O.ai Machine Learning Interpretability Resourcesβ485Updated 4 years ago
- iml: interpretable machine learning R packageβ494Updated last week
- python partial dependence plot toolboxβ850Updated 5 months ago
- Combining tree-boosting with Gaussian process and mixed effects modelsβ588Updated this week
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, β¦β673Updated 8 months ago
- An extension of XGBoost to probabilistic modellingβ584Updated 7 months ago
- Natural Gradient Boosting for Probabilistic Predictionβ1,684Updated this week
- π Interactive Studio for Explanatory Model Analysisβ330Updated last year
- machine learning with logical rules in Pythonβ628Updated last year
- Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world dβ¦β425Updated 3 weeks ago
- Extra blocks for scikit-learn pipelines.β1,309Updated last month
- Data Analysis Baseline Libraryβ728Updated 2 months ago
- Algorithms for explaining machine learning modelsβ2,464Updated 2 months ago
- Code for "High-Precision Model-Agnostic Explanations" paperβ797Updated 2 years ago
- A Python library that helps data scientists to infer causation rather than observing correlation.β2,285Updated 8 months ago
- Python implementation of the rulefit algorithmβ414Updated last year
- Prepping tables for machine learningβ1,305Updated this week
- Feature engineering package with sklearn like functionalityβ1,997Updated last month
- Fast SHAP value computation for interpreting tree-based modelsβ533Updated last year
- Interpretability and explainability of data and machine learning modelsβ1,660Updated this week
- A set of data tools in Pythonβ500Updated last month
- XAI - An eXplainability toolbox for machine learningβ1,154Updated 3 years ago
- Bias Auditing & Fair ML Toolkitβ707Updated 5 months ago
- EvalML is an AutoML library written in python.β803Updated 2 weeks ago
- Predictive Power Score (PPS) in Pythonβ1,124Updated last month
- A machine learning package for streaming data in Python. The other ancestor of River.β771Updated last year
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.β608Updated last year