x-y-zhao / BayLimeLinks
bayesian lime
β17Updated 10 months ago
Alternatives and similar repositories for BayLime
Users that are interested in BayLime are comparing it to the libraries listed below
Sorting:
- Local explanations with uncertainty π!β40Updated last year
- β17Updated last year
- XAI-Bench is a library for benchmarking feature attribution explainability techniquesβ68Updated 2 years ago
- Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Humanβ¦β73Updated 2 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)β82Updated 2 years ago
- A benchmark for distribution shift in tabular dataβ53Updated last year
- A collection of algorithms of counterfactual explanations.β50Updated 4 years ago
- LOcal Rule-based Exlanationsβ51Updated last year
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systemsβ74Updated 3 years ago
- Reliability diagrams visualize whether a classifier model needs calibrationβ152Updated 3 years ago
- Model Agnostic Counterfactual Explanationsβ87Updated 2 years ago
- Generate robust counterfactual explanations for machine learning modelsβ16Updated 2 years ago
- Rule Extraction Methods for Interactive eXplainabilityβ43Updated 3 years ago
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"β53Updated 3 years ago
- β11Updated 4 years ago
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"β31Updated 2 years ago
- A fairness library in PyTorch.β29Updated 11 months ago
- This repository provides details of the experimental code in the paper: Instance-based Counterfactual Explanations for Time Series Classiβ¦β20Updated 4 years ago
- Model-agnostic posthoc calibration without distributional assumptionsβ42Updated last year
- Datasets for fairness-aware machine learningβ11Updated 3 months ago
- A lightweight implementation of removal-based explanations for ML models.β59Updated 3 years ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AIβ55Updated 2 years ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"β47Updated 2 years ago
- β33Updated last year
- Code for "Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties"β18Updated 4 years ago
- An Empirical Framework for Domain Generalization In Clinical Settingsβ30Updated 3 years ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiationβ212Updated 2 years ago
- Counterfactual Explanations for Multivariate Time Series Dataβ33Updated last year
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" htβ¦β127Updated 4 years ago
- β14Updated 6 years ago