imoscovitz / wittgenstein
Ruleset covering algorithms for transparent machine learning
☆99Updated 10 months ago
Alternatives and similar repositories for wittgenstein:
Users that are interested in wittgenstein are comparing it to the libraries listed below
- Python implementation of the rulefit algorithm☆414Updated last year
- machine learning with logical rules in Python☆628Updated last year
- Python Meta-Feature Extractor package.☆131Updated 8 months ago
- ☆75Updated 5 months ago
- Python package for Gower distance☆77Updated 9 months ago
- CostSensitiveClassification Library in Python☆207Updated 4 years ago
- Public home of pycorels, the python binding to CORELS☆77Updated 4 years ago
- A power-full Shapley feature selection method.☆203Updated 10 months ago
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆99Updated 2 years ago
- Python Interface of the Scalable Bayesian Rule Lists☆19Updated 5 years ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- A toolbox for fair and explainable machine learning☆55Updated 8 months ago
- Editing machine learning models to reflect human knowledge and values☆124Updated last year
- Python package for Imputation Methods☆247Updated last year
- Graph Algorithms☆616Updated 4 months ago
- scikit-learn contrib estimators☆195Updated last week
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆286Updated last year
- A Python library for dynamic classifier and ensemble selection☆485Updated 10 months ago
- scikit-learn compatible implementation of stability selection.☆212Updated last year
- An automated machine learning tool aimed to facilitate AutoML research.☆96Updated 5 months ago
- Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University☆45Updated 2 years ago
- Python Accumulated Local Effects package☆164Updated 2 years ago
- Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.☆50Updated 10 months ago
- Python implementation of iterative-random-forests☆64Updated last year
- ☆72Updated 10 months ago
- Missing data amputation and exploration functions for Python☆67Updated 2 years ago
- Meta-Feature Extractor☆28Updated 2 years ago
- A python library for hierarchical classification compatible with scikit-learn☆118Updated 2 weeks ago
- ALE Plots with python☆61Updated 11 months ago
- The stream-learn is an open-source Python library for difficult data stream analysis.☆63Updated this week