ContrastiveExplanation
Explanations
Provides explanations for why an instance has a certain outcome by contrasting it with what would have happened if the outcome had been different.
Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
45 stars
4 watching
5 forks
Language: Python
last commit: almost 2 years ago
Linked from 2 awesome lists
contrastive-explanationsexplainable-aifoilinterpretabilitymachine-learningmodel-agnostic
jphall663/awesome-machine-learning-interpretability
krzjoa/awesome-python-data-scienceRelated projects:
| Repository | Description | Stars |
|---|---|---|
 interpretml/dice | Provides counterfactual explanations for machine learning models to facilitate interpretability and understanding. | 1,364 |
| marcelrobeer/explabox | An exploratory tool for analyzing and understanding machine learning models | 15 |
 neulab/explainaboard | An interactive tool to analyze and compare the performance of natural language processing models | 361 |
 marcotcr/anchor | Provides a method to generate explanations for predictions made by any black box classifier. | 798 |
 thomasp85/lime | An R package for providing explanations of predictions made by black box classifiers. | 485 |
 pbiecek/xaiaterum2020 | An R package and workshop materials for explaining machine learning models using explainable AI techniques | 52 |
 bgreenwell/fastshap | Provides an efficient approach to computing Shapley values for explaining machine learning model predictions. | 116 |
 modeloriented/modelstudio | A tool for creating interactive, model-agnostic explanations of machine learning models in R | 326 |
 rmarko/explainprediction | An R package for explaining the predictions made by machine learning models in data science applications. | 2 |
 benedekrozemberczki/shapley | An open-source Python library for evaluating and explaining the contribution of individual classifiers in machine learning ensembles. | 218 |
 rucaibox/comvint | Creating synthetic visual reasoning instructions to improve the performance of large language models on image-related tasks | 18 |
| modeloriented/dalex | A tool to help understand and explain the behavior of complex machine learning models | 1,375 |
 darekkay/a11y-contrast | Calculates and verifies accessibility of color palettes based on contrast ratios. | 37 |
 blent-ai/alepython | An ALE plot generation tool for explaining machine learning model predictions | 158 |
 shobrook/stackexplain | A tool to help developers understand stack traces by sending them to AI-powered chat for explanations. | 517 |