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Qt-DAB, a general software DAB (DAB+) decoder with a (slight) focus on showing the signal

Improving drug safety prediction using Explainable AI

Pest and Insect Detection using Deep Learning.

Repository for the Master's thesis on Enhancing Autonomous Driving Explainability: A Counterfactual Explanation Approach Using Deep Generative Models

A foundational Haxe framework for cross-platform development

The BEST discord raid tool that is FREE atm

Multicycles.org aggregates on one map, more than 300 share vehicles like bikes, scooters, mopeds and cars. Demo APP for the Data Flow API, see https://flow.fluctuo.com

Implementation of LIME focused on producing user-centric local explanations for image classifiers.

Descriptive analysis and QSAR modelling for tox_21 datasets

Explaining black boxes with a SMILE: Statistical Mode-agnostic Interpretability with Local Explanations

A web application that detects aggression and misogyny in text using BERT augmentation, sentiment analysis, XGBoost, TF-IDF vectorization, LIME explainability. [Paper accepted at ICON 2021]

The SEntence-Level FActual Reasoning (SELFAR) is a new method to improve explainable fact-checking. It relies on fact extraction and verification by predicting the news source reliability and factuality (veracity) of news articles or claims at the sentence level, generating post-hoc explanations using SHAP/LIME and zero-shot prompts.

Explaining Tele Assist System (TAS) workflow adaptations using LIME

C# LIME protocol implementation

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

This repository explores the use of eXplainable AI (XAI) to interpret deep learning models in underwater SONAR image classification. We utilize transfer learning with CNN architectures like VGG16 and ResNet50, and apply LIME and SP-LIME for transparent model explanations.

Unpack, Pack & Resign files encrypted with the 1st version of "Lime" encryption.

Demonstrates the use of post-hoc explainability techniques on Splice DNA dataset.

An NLP research project utilizing the "cardiffnlp/twitter-roberta-base-sentiment-latest" pre-trained transformer for tweet tokenization. The project includes an attention-based biLSTM model that predicts sentiment labels for tweets as negative (-1), neutral (0), or positive (1).