ATRACO project Files

Status: Beta

Brought to you by: ktogias

The interactive file manager requires Javascript. Please enable it or use sftp or scp.
You may still browse the files here.

Name	Modified	Size	InfoDownloads / Week
Parent folder
owlapi-src.jar	2011-05-17	1.5 MB	0
owlapi-bin.jar	2011-05-17	1.7 MB	0
license.txt	2011-05-17	7.6 kB	0
version.txt	2011-05-17	126 Bytes	0
Totals: 4 Items		3.2 MB	0

Other Useful Business Software

Gen AI apps are built with MongoDB Atlas

Build gen AI apps with an all-in-one modern database: MongoDB Atlas

MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.

Start Free

Cloud-based help desk software with ServoDesk

Full access to Enterprise features. No credit card required.

What if You Could Automate 90% of Your Repetitive Tasks in Under 30 Days? At ServoDesk, we help businesses like yours automate operations with AI, allowing you to cut service times in half and increase productivity by 25% - without hiring more staff.

Try ServoDesk for free

Recommended Projects

OpenCCG: The OpenNLP CCG Library
OpenCCG, the OpenNLP CCG Library, is a collection of natural language processing components and tools which provide support for parsing and realization with Combinatory Categorial Grammar (CCG).
Calise
Acronym for camera light sensor. A python program that calculates ambient brightness and sets screen's correct backlight using a camera.
Ambient
The Ambient Music Player project is a lite version of Amarok for handhelds based on the Google Android environment.
the MyExperience tool
MyExperience is an application for capturing both objective and subjective in-situ data on mobile computing activities via automated logging and various context-aware experience sampling / momentary assessment techniques (ESM, diary, etc.)
openEAR
openEAR is the Munich Open-Source Emotion and Affect Recognition Toolkit developed at the Technische Universität München (TUM). It provides efficient (audio) feature extraction algorithms implemented in C++, classfiers, and pre-trained models on well-known emotion databases. It is now maintained and supported by audEERING. Updates will follow soon.

ATRACO project Files

Get an email when there's a new version of ATRACO project