epfl-ml4ed / evaluating-explainersLinks
Comparing 5 different XAI techniques (LIME, PermSHAP, KernelSHAP, DiCE, CEM) through quantitative metrics. Published at EDM 2022.
☆17Updated 3 years ago
Alternatives and similar repositories for evaluating-explainers
Users that are interested in evaluating-explainers are comparing it to the libraries listed below
Sorting:
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆252Updated last year
- Neural Additive Models (Google Research)☆31Updated last year
- Neural Additive Models (Google Research)☆74Updated 4 years ago
- For calculating Shapley values via linear regression.☆73Updated 4 years ago
- Generate robust counterfactual explanations for machine learning models☆16Updated 2 years ago
- Rule Extraction Methods for Interactive eXplainability☆48Updated 3 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆85Updated 3 years ago
- Mutual Information Based Feature Selection in Python☆20Updated last year
- For calculating global feature importance using Shapley values.☆284Updated last week
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆48Updated 3 years ago
- An amortized approach for calculating local Shapley value explanations☆105Updated 2 years ago
- Codebase for information theoretic shapley values to explain predictive uncertainty.This repo contains the code related to the paperWatso…☆22Updated last year
- Tensorflow 2.1 implementation of LRP for LSTMs☆40Updated 3 years ago
- Uncertainty-aware classification.☆17Updated 3 years ago
- Benchmark time series data sets for PyTorch☆36Updated last year
- Resources for Machine Learning Explainability☆87Updated last year
- Implementation of the InterpretTime framework☆54Updated 2 years ago
- TimeSHAP explains Recurrent Neural Network predictions.☆196Updated 2 years ago
- ☆214Updated 4 years ago
- A collection of algorithms of counterfactual explanations.☆52Updated 4 years ago
- Nonlinear Causal Discovery with Confounders☆21Updated 3 years ago
- Code for paper "Copula-based conformal prediction for Multi-Target Regression"☆34Updated 4 years ago
- Counterfactual Explanations for Multivariate Time Series Data☆35Updated last year
- Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty i…☆268Updated 4 months ago
- Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".☆121Updated 4 years ago
- This repository provides details of the experimental code in the paper: Instance-based Counterfactual Explanations for Time Series Classi…☆22Updated 4 years ago
- A list of (post-hoc) XAI for time series☆175Updated last year
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆74Updated 3 years ago
- Conformalized Quantile Regression☆302Updated this week
- Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction…☆128Updated 2 years ago