ZhengzeZhou / slimeLinks
☆18Updated 2 years ago
Alternatives and similar repositories for slime
Users that are interested in slime are comparing it to the libraries listed below
Sorting:
- bayesian lime☆18Updated last year
- Local explanations with uncertainty 💐!☆40Updated 2 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆84Updated 2 years ago
- A collection of algorithms of counterfactual explanations.☆50Updated 4 years ago
- This repository contains the implementation of Label-Free XAI, a new framework to adapt explanation methods to unsupervised models. For m…☆24Updated 3 years ago
- Generate robust counterfactual explanations for machine learning models☆16Updated 2 years ago
- Efficient Computation and Analysis of Distributional Shapley Values (AISTATS 2021)☆22Updated 2 years ago
- Neural Additive Models (Google Research)☆73Updated 4 years ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆54Updated 3 years ago
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆220Updated 3 years ago
- A benchmark for distribution shift in tabular data☆56Updated last year
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 4 years ago
- Code for "Consistent Estimators for Learning to Defer to an Expert" (ICML 2020)☆14Updated 2 years ago
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆31Updated 2 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆248Updated last year
- Reliability diagrams visualize whether a classifier model needs calibration☆159Updated 3 years ago
- A Data-Centric library providing a unified interface for state-of-the-art methods for hardness characterisation of data points.☆25Updated 7 months ago
- A repo for transfer learning with deep tabular models☆104Updated 2 years ago
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆75Updated 3 years ago
- An amortized approach for calculating local Shapley value explanations☆102Updated last year
- Survey for Distribution Shift☆19Updated 4 years ago
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆54Updated 3 years ago
- Data Augmentation with Variational Autoencoders (TPAMI)☆143Updated 3 years ago
- Repository for our NeurIPS 2022 paper "Concept Embedding Models", our NeurIPS 2023 paper "Learning to Receive Help", and our ICML 2025 pa…☆69Updated 3 weeks ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆46Updated 3 years ago
- Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…☆84Updated last year
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆136Updated last year
- DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks☆21Updated 4 months ago
- ☆10Updated 3 years ago