SelfExplainML / AletheiaLinks
A Python package for unwrapping ReLU DNNs
☆70Updated last year
Alternatives and similar repositories for Aletheia
Users that are interested in Aletheia are comparing it to the libraries listed below
Sorting:
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- A lightweight implementation of removal-based explanations for ML models.☆58Updated 4 years ago
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆105Updated last year
- The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).☆220Updated 2 years ago
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆77Updated 2 years ago
- Multi-Objective Counterfactuals☆42Updated 3 years ago
- 💊 Comparing causality methods in a fair and just way.☆139Updated 5 years ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆176Updated 2 years ago
- Multivariate Boosted TRee☆63Updated 2 years ago
- All about explainable AI, algorithmic fairness and more☆110Updated last year
- Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University☆44Updated 2 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆50Updated 5 years ago
- GAM (Global Attribution Mapping) explains the landscape of neural network predictions across subpopulations☆34Updated 2 weeks ago
- Fast implementation of Venn-ABERS probabilistic predictors☆73Updated last year
- XAI Stories. Case studies for eXplainable Artificial Intelligence☆29Updated 4 years ago
- Optimal Sparse Decision Trees☆105Updated 2 years ago
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆44Updated 2 months ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆292Updated last year
- Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.☆59Updated 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…☆102Updated 2 years ago
- Comparing different performance estimation methods for time series forecasting tasks☆37Updated 3 months ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆61Updated last week
- Generalized Optimal Sparse Decision Trees☆65Updated last year
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)☆60Updated 7 years ago
- Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…☆266Updated 2 months ago
- Batch shap calculations.☆31Updated 2 years ago
- Editing machine learning models to reflect human knowledge and values☆127Updated last year
- A toolbox for fair and explainable machine learning☆55Updated last year
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆83Updated 2 years ago