OpenXAI : Towards a Transparent Evaluation of Model Explanations

Official project page of CLIPDrawX

Open source software for machine learning production monitoring : maintain control over production models, detect bias, explain your results.

Visualization of survey data.

Online exploration of memory reduction strategies of a DRL agent trained to solve a navigation task on ViZDoom

TS4NLE is converts the explanation of an eXplainable AI (XAI) system into natural language utterances comprehensible by humans.

Pneumonia Detection Software with Database

Bot for my game Asteroids Harvesters

Frontend for comic book semantic search engine. Renders explanations along with search results

Build explainable machine learning products and services

AI-supported CT analysis application incorporating explainability features

Interpreting Categorical Data Classifiers using Explanation-based Locality

The E2AI Literacy Project

Maskinrummet (The Engine Room) is a project to spread and contribute educational resources around text processing and AI systems, created as part of a project at Aarhus University

Choregraphe App for Pepper robots to enable them to tell a scripted story specified in a Google spreadsheet.

There are a large number of different XAI methods. This oversupply makes it difficult to find a suitable XAI method that fits a specific use case and is also suitable for the respective target group. The XAI Method Finder then helps everyone to find a suitable XAI solution for their specific use case.

Discover Explainable AI (XAI) through interactive visualizations with P5.js. Dive into the world of AI decision-making and unravel complex concepts in an engaging, accessible way. Ideal for both enthusiasts and professionals seeking deeper insights into AI.