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

Classify Terrier dog breeds and explain the model predictions with Explainable AI

Judgments Prediction of Supreme Court of Nigeria (SCN)

Tasks for Advanced Machine Learning Technologies Course at ITMO University.

Implementation of "Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods"

TeleXGI: Explainable Gastrointestinal Image Classification for TeleSurgery Systems

eXplainable Artificial Intelligence - Squeezing LIME in a custom network & SHAPling around a custom network

A solid foundational understanding of XAI, primarily emphasizing how XAI methodologies can expose latent biases in datasets and reveal valuable insights.

A spike on Haxe/Lime/OpenFL/Flixel

Implementation of "LIME: Local Interpretable Model-agnostic Explanations" on fingers kaggle dataset to identify which part of hand used by model to make decisions

Using LIME and Grad-CAM techniques to explain the results achieved by various image transfer learning techniques

Sarcasm Classifier & ML Explainability tool