andreArtelt / cemlLinks
CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
☆45Updated 4 months ago
Alternatives and similar repositories for ceml
Users that are interested in ceml are comparing it to the libraries listed below
Sorting:
- Model Agnostic Counterfactual Explanations☆88Updated 3 years ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆295Updated 2 years ago
- A collection of algorithms of counterfactual explanations.☆50Updated 4 years ago
- For calculating global feature importance using Shapley values.☆276Updated this week
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆77Updated 2 years ago
- A lightweight implementation of removal-based explanations for ML models.☆58Updated 4 years ago
- The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).☆220Updated 2 years ago
- Multi-Objective Counterfactuals☆42Updated 3 years 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
- All about explainable AI, algorithmic fairness and more☆110Updated 2 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆247Updated last year
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆84Updated 2 years ago
- Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…☆266Updated 2 weeks ago
- For calculating Shapley values via linear regression.☆70Updated 4 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆70Updated 2 years ago
- Editing machine learning models to reflect human knowledge and values☆127Updated 2 years ago
- ☆50Updated 2 years ago
- Rule Extraction Methods for Interactive eXplainability☆47Updated 3 years ago
- A Python package for unwrapping ReLU DNNs☆70Updated last year
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆87Updated 2 years ago
- Fast and incremental explanations for online machine learning models. Works best with the river framework.☆55Updated 9 months ago
- python tools to check recourse in linear classification☆78Updated 4 years ago
- An amortized approach for calculating local Shapley value explanations☆100Updated last year
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆31Updated 2 years ago
- Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University☆44Updated 2 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆36Updated 2 years ago
- A repo for transfer learning with deep tabular models☆104Updated 2 years ago
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆107Updated last year
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆159Updated 2 years ago
- An automated machine learning tool aimed to facilitate AutoML research.☆100Updated last year