Search Results for "java projects applications" - Page 10

Implemented in Flora-2/XSB, F-OWL is an inference engine for the standard Web Ontology Language OWL. A set of Java API is provided for applications to assert and query OWL ontology statements.

Provides developers convenient and powerful API's that that are needed for AI based applications. This includes a GA API, an ANN API, an ERL API and a SDT API.

CharlieBot is an artificial intelligence program written in the Java language. It is based on work from the ALICE, ANNA v7.0, and Program D v4.1.5 projects. It works on Mac OS X or any Java 1.3 VM. Charlie is a 58 year old computer enthusiast.

Forasystems compound financial expertise into Java Business components. These components put together the financial requirements which are shared by most of financial companies and allow to build resilient applications.

JSOMap is a Java-based package for working with Self-Organizing Maps. Utilizing object-oriented and smart software design principles, it is incredibly easy to use in a variety of applications, from pure number crunching to interactive demos.

WORF is an open and extensible API framework upon which developers can build new and interesting embedded robot software applications on the Waba platform for their robot creation.

This is an open source state machine template for C++. Initially FSM support will be given. The purpose is to facilitate developers to create state machine based C++ applications easily.

Distributed Genetic Algorithm framework (with projects). Uses java.rmi for networking.

This project consists in tools programmed during the Master in Artificial Intelligence at UCLA, Venezuela. Este proyecto consiste en herramientas que programadas durante la Maestría de Inteligencia Artificial en la UCLA, Venezuela. 2006 - 2007

Jatobo (Java TOC Bot) is another Bot connecting to the ICQ and AIM networks via the TOC2 library. For that purpose it uses Jatoli (Java TOC Library) also included in this project. Feel free to use it for your projects.

This project aims to provide a framework for applications using belief revision techniques.

NextCaptcha is a powerful captcha solving service that helps developers easily integrate captcha solving capabilities into their C# projects. With NextCaptcha, you can solve a wide range of captcha types, including reCAPTCHA v2, reCAPTCHA v3, reCAPTCHA Enterprise,reCAPTCHA Mobile, hCaptcha, hCaptcha Enterprise, and FunCaptcha. Our SDK provides a simple and intuitive API that allows you to seamlessly integrate captcha solving into your applications.

This project is intended to become an advanced software tool which will allocate resources for projects described by Gantt charts and rules, it also will try to create plans and schedules, based on templates, rules and historical information.

JOptical is a free library for generic computer vision applications. It will include most well known algorithms around this subject and expand on that.

This projects implements various optimization heuristics and meta-heuristics (such as local search, VND, GRASP, Simulated Annealing, and more still to come) finding solutions on the post enrolment course timetabling problem.

A .Net Library that lets you make full use of multi-core and multiprocessor computers. It is very efficient, and easily integrated into existing applications. It is modeled after the Parallel FX usage model, and is faster than the PFX too.

Provides a voice interface for applications via a plug in system. Allows the inclusion of voice recognition in an application with a minimum of effort.

GraphSpider is a pattern matcher which searches parsed text in phrase-structure tree or dependency graph format for syntactic structures matching a set of patterns in MPL, a regexp-like pattern language. Applications: information extraction, text mining.

Gemma 4 12B is Google DeepMind’s unified open-weight multimodal model designed for efficient local reasoning, coding, and multimodal understanding. Unlike other Gemma 4 models that rely on separate encoders, the 12B Unified model uses an encoder-free architecture that projects raw image patches and audio waveforms directly into the language model’s embedding space, reducing multimodal latency and simplifying fine-tuning. It supports text, image, audio, and video inputs with text output,...

Ministral 3 14B Base 2512 is the largest model in the Ministral 3 line, offering state-of-the-art language and vision capabilities in a dense, base-pretrained form. It combines a 13.5B-parameter language model with a 0.4B-parameter vision encoder, enabling both high-quality text understanding/generation and image-aware tasks. As a “base” model (i.e. not fine-tuned for instruction or reasoning), it provides a flexible foundation ideal for custom fine-tuning or downstream specialization. The...