TrustyAI Explainability Toolkit
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Updated
Apr 30, 2025 - Java
TrustyAI Explainability Toolkit
Supporting models and data to doi 10.1021/acs.jcim.1c01163
Ths repo has the list of Interesting Literature in the domain of XAI
Skin cancer classification using Transfer Learning and explainable AI
This repository contains a code of Unfold and Conquer Attribution Guidance, which is presented in a conference of Association for the Advancement of Artificial Intelligence 2023.
Hacking a Neural Network to understand what concepts the network learns in order to solve a logic task.
Methods to interpret machine learning models/black box which can help us understand how it’s making decisions.
Detects Pneumonia using Chest X rays through Deep Learning models
An AI-powered clinical assistant using Retrieval-Augmented Generation (RAG) on the MIMIC-IV DiReCT dataset. It retrieves relevant patient cases and generates diagnostic reasoning using LLMs. Built with Streamlit, Transformers, FAISS, and SentenceTransformers.
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