Pinned Repositories
backup-cineca
cineca-esercizi
dlime_experiments
In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).
git_course_parallel_school
GLEAMS
HSIC
Python code of Hilbert-Schmidt Independence Criterion
interpret
Fit interpretable models. Explain blackbox machine learning.
interpretable-ml-book
Book about interpretable machine learning
LeRenneAuronzo
lime_stability
giorgiovisani's Repositories
giorgiovisani/lime_stability
giorgiovisani/backup-cineca
giorgiovisani/cineca-esercizi
giorgiovisani/dlime_experiments
In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).
giorgiovisani/git_course_parallel_school
giorgiovisani/GLEAMS
giorgiovisani/HSIC
Python code of Hilbert-Schmidt Independence Criterion
giorgiovisani/interpret
Fit interpretable models. Explain blackbox machine learning.
giorgiovisani/interpretable-ml-book
Book about interpretable machine learning
giorgiovisani/LeRenneAuronzo
giorgiovisani/lime
Lime: Explaining the predictions of any machine learning classifier
giorgiovisani/prova_Travis
giorgiovisani/pyglmnet
Python implementation of elastic-net regularized generalized linear models
giorgiovisani/RandomForest
Simple implementation of the random forest algorithm from scratch
giorgiovisani/Regression-Data-Generator
giorgiovisani/Utils.Giorgio