Search Results for "ar"

CounterfactualExplanations.jl is a package for generating Counterfactual Explanations (CE) and Algorithmic Recourse (AR) for black-box algorithms. Both CE and AR are related tools for explainable artificial intelligence (XAI). While the package is written purely in Julia, it can be used to explain machine learning algorithms developed and trained in other popular programming languages like Python and R. See below for a short introduction and other resources or dive straight into the docs.

ArviZ.jl (pronounced "AR-vees") is a Julia package for exploratory analysis of Bayesian models. It includes functions for posterior analysis, model checking, comparison and diagnostics.

javafx-desktop-apps pdf image ocr icc barcode color-palette text bytes markdown html archive compress digest video audio editor converter media https://github.com/Mararsh/MyBox Self-contain packages need not java env nor installation. Jar packages need Java 16 or higher.

This application is a simple text label editor and viewer on the second dispaly port. The main usage is for testing text styles on video see trought head mounted display (es. google glasses). If you use it please cite our paper: Michele Fiorentino* Saverio Debernardis Antonio E. Uva Giuseppe Monno, Augmented Reality Text Style Readability with See-Through Head-Mounted Displays In Industrial Context, Presence, Vol. 22, No. 2, Spring 2013, 000–000...

Library for algorithms of Augmented Reality with a application to demonstrate it. Programmed in C/C++ and OpenGL.

TacitPixel is a scalable C++ framework for building application prototypes for interactive collaborative VR/AR applications. It provides a number of features that make prototyping fast and portable. TacitPixel is the successor of the TAP and Twisted Pair engines.