mateoespinosa / remixLinks
Rule Extraction Methods for Interactive eXplainability
☆47Updated 3 years ago
Alternatives and similar repositories for remix
Users that are interested in remix are comparing it to the libraries listed below
Sorting:
- For calculating Shapley values via linear regression.☆71Updated 4 years ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 10 months ago
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆62Updated last year
- Active Bayesian Causal Inference (Neurips'22)☆58Updated last year
- Neural Additive Models (Google Research)☆73Updated 4 years ago
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆45Updated 5 months ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 4 years ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆46Updated 3 years ago
- Generalized additive model with pairwise interactions☆66Updated last year
- Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)☆153Updated 3 years ago
- Model Agnostic Counterfactual Explanations☆88Updated 3 years ago
- Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.☆76Updated 11 months ago
- Multi-Objective Counterfactuals☆42Updated 3 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 5 years ago
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆45Updated 2 years ago
- (Conditional) Independence testing & Markov blanket feature selection using k-NN mutual information and conditional mutual information es…☆31Updated 5 years ago
- For calculating global feature importance using Shapley values.☆278Updated this week
- A Natural Language Interface to Explainable Boosting Machines☆68Updated last year
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆62Updated 3 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…☆102Updated 3 years ago
- [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.☆59Updated 2 weeks ago
- [Experimental] Global causal discovery algorithms☆109Updated 2 weeks ago
- An amortized approach for calculating local Shapley value explanations☆102Updated last year
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆294Updated 2 years ago
- A collection of algorithms of counterfactual explanations.☆50Updated 4 years ago
- Generalized Optimal Sparse Decision Trees☆68Updated last year
- The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).☆221Updated 2 years ago
- Editing machine learning models to reflect human knowledge and values☆126Updated 2 years ago
- ☆40Updated 6 years ago
- ☆50Updated 2 years ago