corels / pycorelsLinks
Public home of pycorels, the python binding to CORELS
☆80Updated 4 years ago
Alternatives and similar repositories for pycorels
Users that are interested in pycorels are comparing it to the libraries listed below
Sorting:
- Editing machine learning models to reflect human knowledge and values☆124Updated last year
- Learning Certifiably Optimal Rule Lists☆175Updated 3 years ago
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- ☆63Updated 6 months ago
- simple customizable risk scores in python☆137Updated 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
- Missing data amputation and exploration functions for Python☆70Updated 2 years ago
- Python Interface of the Scalable Bayesian Rule Lists☆20Updated 5 years ago
- A toolbox for fair and explainable machine learning☆55Updated 11 months ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- python tools to check recourse in linear classification☆76Updated 4 years ago
- Create sparse and accurate risk scoring systems!☆37Updated 10 months ago
- Python implementation of the rulefit algorithm☆420Updated last year
- ☆9Updated 4 years ago
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆44Updated last month
- Generalized Optimal Sparse Decision Trees☆63Updated last year
- Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University☆45Updated 2 years ago
- Surrogate Assisted Feature Extraction☆37Updated 3 years ago
- 💊 Comparing causality methods in a fair and just way.☆139Updated 5 years ago
- An extension of CatBoost to probabilistic modelling☆143Updated last year
- An automated machine learning tool aimed to facilitate AutoML research.☆99Updated 9 months ago
- Ruleset covering algorithms for transparent machine learning☆106Updated 2 months ago
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆58Updated last month
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆104Updated last year
- ⬛ Python Individual Conditional Expectation Plot Toolbox☆165Updated 5 years ago
- Multi-Objective Counterfactuals☆41Updated 2 years ago
- All about explainable AI, algorithmic fairness and more☆108Updated last year
- Bayesian Additive Regression Trees For Python☆227Updated last year
- Python package for Imputation Methods☆248Updated last year
- Python library for Ceteris Paribus Plots (What-if plots)☆24Updated 4 years ago