Predicting probability of default (at 12 months from observation) for small companies

This project aims to analyze and model the information retrieved by a real-world IoT system in order to understand which are the relationships in the dataset chosen between the dependent variables and the selected target feature. To help the understanding of the inner working of the models adopted, several machine learning interpretability techn…

Just a lib converting HCI communication dumps to Cypress chips into LiME memory dumps. !!! Migrated to Codeberg 🏔️ !!!

Bengali Misogyny Identification with Deep Learning and LIME.

client subsection to a term deposit

Interpretability of Image Keras Models

Simple lightweight TUI editor

lime🍋. Super fast way to build ecommerce sites. Open-Source.

TIC is a library that acts as a Toolbox for Interpretability Comparison.

Comparison between LIME and SHAP

Cardiovasular Disease Detection using Naive Bayes, Logistic Regression, Random Forest & Support Vector Machine, while comparing the Naive Bayes models with the rest. LIME was also used to explain the predictions of the model.

Repository for the journal article 'SHAMSUL: Systematic Holistic Analysis to investigate Medical Significance Utilizing Local interpretability methods in deep learning for chest radiography pathology prediction'

Deep learning solution for explaining and detecting emotions in advertisement videos.

In this repository you will fine explainability of machine learning models.

LIME for TimeSeries enhances AI transparency by providing LIME-based interpretability tools for time series models. It offers insights into model predictions, fostering trust and understanding in complex AI systems.

Sushi online delivery shop project with typescript / redux toolkit

Machine Learning Model Explainability

Lime: Explaining the predictions of any machine learning classifier

🧶 no bs url shortening