tiagobotari / melimeLinks
Meaningful Local Explanation for Machine Learning Models
☆41Updated 2 years ago
Alternatives and similar repositories for melime
Users that are interested in melime are comparing it to the libraries listed below
Sorting:
- Extended Complexity Library in R☆57Updated 4 years ago
- R package for data complexity measures for imbalanced classification tasks☆9Updated 4 years ago
- ☆16Updated 6 years ago
- Meta-Feature Extractor☆29Updated 3 years ago
- Python Meta-Feature Extractor package.☆133Updated last year
- Meta-Padawan solution to the NeurIPS (2021) - Few-shot learning competition.☆9Updated 3 years ago
- Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…☆73Updated 2 years ago
- All about explainable AI, algorithmic fairness and more☆109Updated last year
- Post-hoc Nemenyi test for algorithm statistical comparison.☆22Updated 4 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 3 years ago
- ☆79Updated this week
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆105Updated last year
- A Python package for unwrapping ReLU DNNs☆70Updated last year
- An automated machine learning tool aimed to facilitate AutoML research.☆99Updated 9 months ago
- Multi-Objective Counterfactuals☆41Updated 2 years ago
- Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University☆44Updated 2 years ago
- Create sparse and accurate risk scoring systems!☆37Updated 10 months ago
- ☆74Updated last year
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆82Updated 2 years ago
- A toolbox for fair and explainable machine learning☆55Updated last year
- Fast implementation of Venn-ABERS probabilistic predictors☆74Updated last year
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆77Updated 2 years ago
- An image meta-feature extractor for meta-learning tasks.☆12Updated last year
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆102Updated 2 years ago
- Generalized Optimal Sparse Decision Trees☆63Updated last year
- Extra functionalities for river☆14Updated last year
- Small Dataset Benchmarks on the Dataset of Datasets UCI++☆89Updated 2 years ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆291Updated last year