sbobek / lux
Local Universal Rule-based Explanations
☆13Updated this week
Alternatives and similar repositories for lux:
Users that are interested in lux are comparing it to the libraries listed below
- Multi-Objective Counterfactuals☆41Updated 2 years ago
- A rule-based aproach to explain the output of any machine learning model☆13Updated 9 months ago
- Meaningful Local Explanation for Machine Learning Models☆41Updated last year
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- An automated machine learning tool aimed to facilitate AutoML research.☆96Updated 4 months ago
- Nature-inspired algorithms for hyper-parameter tuning of Scikit-Learn models.☆28Updated last year
- (Conditional) Independence testing & Markov blanket feature selection using k-NN mutual information and conditional mutual information es…☆28Updated 4 years ago
- Ananke named for the Greek primordial goddess of necessity and causality, is a python package for causal inference using the language o…☆13Updated 4 years ago
- ☆15Updated 3 years ago
- The code of the experiments of the submitted paper "On the stability of Feature Selection" in Matlab, R and Python.☆17Updated 6 years ago
- ☆72Updated 8 months ago
- Public home of pycorels, the python binding to CORELS☆75Updated 4 years ago
- All about explainable AI, algorithmic fairness and more☆107Updated last year
- For calculating Shapley values via linear regression.☆66Updated 3 years ago
- Python Meta-Feature Extractor package.☆126Updated 6 months ago
- Fast implementation of Venn-ABERS probabilistic predictors☆72Updated 11 months ago
- Extended Complexity Library in R☆57Updated 4 years ago
- Generalized Optimal Sparse Decision Trees☆62Updated 9 months ago
- Example causal datasets with consistent formatting and ground truth☆76Updated last year
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆48Updated last month
- [Experimental] Global causal discovery algorithms☆95Updated last week
- Mapper implementation (Topological Data Analysis) in Python☆65Updated 6 years ago
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆58Updated last year
- Generalized additive model with pairwise interactions☆63Updated 9 months ago
- A collection of algorithms of counterfactual explanations.☆50Updated 3 years ago
- Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…☆257Updated 4 months ago
- Effector - a Python package for global and regional effect methods☆55Updated last week
- Conditional calibration of conformal p-values for outlier detection.☆34Updated 2 years ago
- For calculating global feature importance using Shapley values.☆259Updated this week