x-y-zhao / BayLimeLinks
bayesian lime
☆18Updated last year
Alternatives and similar repositories for BayLime
Users that are interested in BayLime are comparing it to the libraries listed below
Sorting:
- ☆18Updated 2 years ago
- Local explanations with uncertainty 💐!☆42Updated 2 years ago
- Generate robust counterfactual explanations for machine learning models☆16Updated 2 years ago
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆76Updated 3 years ago
- Efficient Computation and Analysis of Distributional Shapley Values (AISTATS 2021)☆22Updated 2 years ago
- Code for "Consistent Estimators for Learning to Defer to an Expert" (ICML 2020)☆15Updated 2 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆85Updated 3 years ago
- A collection of algorithms of counterfactual explanations.☆52Updated 4 years ago
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆54Updated 3 years ago
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆31Updated 2 years ago
- Model Agnostic Counterfactual Explanations☆88Updated 3 years ago
- General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.☆16Updated 5 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆37Updated 3 years ago
- ☆10Updated 3 years ago
- "TSEvo: Counterfactuals for Time Series Classification" accepted at ICMLA '22.☆14Updated 3 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆252Updated last year
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆55Updated 3 years ago
- Neural Additive Models (Google Research)☆74Updated 4 years ago
- Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent…☆54Updated 7 years ago
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆70Updated 3 years ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆226Updated 3 years ago
- Explanation Optimization☆13Updated 5 years ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated 2 years ago
- Reliability diagrams visualize whether a classifier model needs calibration☆164Updated 3 years ago
- ☆16Updated 3 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Updated last year
- A benchmark for distribution shift in tabular data☆56Updated last year
- An amortized approach for calculating local Shapley value explanations☆105Updated 2 years ago
- This repository contains the implementation of Label-Free XAI, a new framework to adapt explanation methods to unsupervised models. For m…☆25Updated 3 years ago
- ☆12Updated 3 years ago