OpenXAI : Towards a Transparent Evaluation of Model Explanations
- Updated
Aug 17, 2024 - JavaScript
OpenXAI : Towards a Transparent Evaluation of Model Explanations
When the stakes are high, intelligence is only half the equation - reliability is the other
Explaining black boxes with a SMILE: Statistical Mode-agnostic Interpretability with Local Explanations
This project automates bank credit risk assessment using AI and machine learning models to predict loan defaults. It streamlines the credit process with predictive analytics, model evaluation, explainability (SHAP), and deployment readiness.
VisBERT: Demo web app for "How Does BERT Answer Questions?"
Create beautiful, interactive charts for explainable AI using MLFlow
ir_explain: a Python Library of Explainable IR Methods
A Python Toolkit for Explainable IR methods
Source code for XSearchKG, a full-stack web application for explainable keyword search over knowledge graphs
The narrative generator component of the multi-level explainability framework for BDI multi-agent systems
A tool to load huggingface LLMs, create explanations on each generated output and see it in a clear overview
Block code for the XAISuite library: 11301858.github.io/xaisuiteweb
Visual Exploration of Representations Learned by Convolutional Neural Networks
Frontend and Backend for comic book semantic search engine. Renders explanations along with search results. Adaptive and Explainable search
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