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

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

An explainability model that can be applied to BERT-based Turkish sentiment analysis models has been developed and its performance has been compared with model spesific Layer-wise relevance propogation expailanbility model of Hila Chefer.

A library to read and write LiME files/blobs in python

Designed a Machine Learning model which takes newsgroup dataset and performs binary classification to predict if a given document has Atheistic or Christian sentiment. Used LIME library and PySpark. Performed feature selection to improve classifier’s performance.

A LIME explainer app for fine-grained sentiment classification, written using Dash.

This project focuses on the analysis of the Titanic dataset, aiming to predict survival outcomes of passengers using a machine learning model (with explanations, using LIME)

Code for submitted paper

This project compares the effectiveness of SVM algorithms using two classes (Hate vs Non-hate) and three classes (Hate, Offensive, Neither) in detecting the actual hate speech accurately. It consists of explainable AI (XAI) implemented using the LIME library and a web user interface implemented using the STREAMLITlibrary. This assignment belongs…

Scoring model for financial company - all files

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'

Analyze CV with XAI

Machine Learning (2019 Spring)

Code Summarization

MLTeam: Apply LIME for t-SNE

Interpretability of Image Keras Models

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

eXplainable Artificial Intelligence (XAI) Basic Algorithms on Iris Dataset

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