Crisp-Unimib / ContrXT
a tool for comparing the predictions of any text classifiers
☆25Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for ContrXT
- CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox☆42Updated 3 months ago
- Code-repository for the ICML 2020 paper Fairwashing explanations with off-manifold detergent☆12Updated 3 years ago
- Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"☆30Updated last year
- Adversarial Black box Explainer generating Latent Exemplars☆11Updated 2 years ago
- How Can I Explain This to You? An Empirical Study of Deep Neural Network Explanation Methods☆23Updated 4 years ago
- Code/figures in Right for the Right Reasons☆55Updated 3 years ago
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆45Updated last year
- PyTorch reimplementation of computing Shapley values via Truncated Monte Carlo sampling from "What is your data worth? Equitable Valuatio…☆25Updated 2 years ago
- CAIPI turns LIMEs into trust!☆12Updated 4 years ago
- A Pytorch implementation of Logic Tensor Networks☆8Updated 5 years ago
- Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent…☆54Updated 6 years ago
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆73Updated 2 years ago
- Modular Python Toolbox for Fairness, Accountability and Transparency Forensics☆75Updated last year
- This repository is all about papers and tools of Explainable AI☆36Updated 4 years ago
- A collection of algorithms of counterfactual explanations.☆50Updated 3 years ago
- Multi-Objective Counterfactuals☆40Updated 2 years ago
- Interpretable Explanations of Black Boxes by Meaningful Perturbation Pytorch☆12Updated 2 months ago
- ☆32Updated 3 years ago
- This is a benchmark to evaluate machine learning local explanaitons quality generated from any explainer for text and image data☆30Updated 3 years ago
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆51Updated 2 years ago
- ☕ A Python library for gradient-boosted statistical relational models / learning probabilistic relational programs.☆31Updated 2 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated 3 years ago
- Code for paper "Multi-label Classification Neural Networks with Hard Logical Constraints"☆14Updated 2 years ago
- Official Repo for "Efficient task-specific data valuation for nearest neighbor algorithms"☆26Updated 4 years ago
- GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model’s Prediction. Thai Le, Suhang Wang, Dongwon …☆22Updated 3 years ago
- Code repository for the AAAI 2022 paper "Do Feature Attribution Methods Correctly Attribute Features?"☆19Updated 2 years ago
- ☆71Updated last month
- Implementation of Adversarial Debiasing in PyTorch to address Gender Bias☆30Updated 4 years ago
- ☆14Updated last year
- PyTorch package to train and audit ML models for Individual Fairness☆63Updated last year