Search Results for "all to"
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Showing 13 open source projects for "all to"
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Atera all-in-one platform IT management software with AI agentsAtera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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Free and Open Source HR SoftwareGive your HR team the tools they need to streamline administrative tasks, support employees, and make informed decisions with the OrangeHRM free and open source HR software.
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ILA - teachable voice assistant
ILA is a fully customizable and teachable voice assistant for Java
...It is designed to integrate with your home enviroment and for example build up your own, free and open Amazon Echo replacement ;-) Right now the key components of ILA are the open source speech recognition CMU Sphinx-4, Google (Speech Recognition/Text-To-Speech) and MaryTTS (Text-To-Speech). The goal is to make ILA completely free of Google by improving all aspects of the open source systems. Since version 3.3 users can also write own add-ons to extend ILA. ILA's successor is the SEPIA Framework: https://sepia-framework.github.io/ Hope you enjoy ILA - Florian -
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aCompute
Aims to enable researcher to tap in to mobile computing capability
...new resources can be added and removed from the system on fly; in layman terms the project will create an agent program that enable sharing & execution of program among all the available resources whether it be desktop, laptop, pda . thereby one can accelerate research to the very extent of resource availability with out bothering about anything... C++11v Upcoming. -
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Mechaglot, Calculate Semantic Similarity
Calculate semantic similarity for any human and human-like languages
WARNING: There are too many false-positives! This is Alpha release, expect many things to improve, including the algorithms. PLEASE GO TO BROWSE ALL FILES TO READ A FULL DESCRIPTION. The goal of this project is simple: Input two sentences of the same language, and obtain the number (from 0 to 1) denoting the similarity between the inputted sentences, according to semantic categories. This project models my previous project: https://sourceforge.net/projects/semantics/ Difference is, this project does not use any database and computes any Strings as an input. ... -
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...Here, "behaviour tree" refers to the technique used to control the behaviour of characters in video games. IMPORTANT NOTE: our source code has been moved to GitHub. You will find it at: https://github.com/gaia-ucm/jbt Note however that all the binary files will still be distributed here at SourceForge.
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D&B Hoovers is Your Sales AcceleratorSpeed up sales prospecting with the rich audience targeting capabilities of D&B Hoovers so you can spend more sales time closing.
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Sentence Composer
Compose the writings semi-automatically
Please click on "BROWSE ALL FILES" to open a README! What is this program? This program is meant to search the texts and suggest sentences that might follow any inputted sentence. It was meant to help composing the writings. How was it made? First, I made a chatterbot to understand the concept of "predicting" the next sentence (worked as good as the Cleverbot), then I made this program that is aided by an user to compose the new writings. -
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Ms. Pac-Man Framework
Using reinforcement learning with relative input to train Ms. Pac-Man
This Java-application contains all required components to simulate a game of Ms. Pac-Man and let an agent learn intelligent playing behaviour using reinforcement learning and either Q-Learning or SARSA. The framework was developed by Luuk Bom and Ruud Henken, under supervision of Marco Wiering, Department of Artificial Intelligence, University of Groningen. It formed the basis of a bachelor's thesis titled "Using reinforcement learning with relative input to train Ms. -
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MARS
Multi Agent Roundbased Simulator
...The german documentation of first group can be found at http://www.cs.uni-paderborn.de/fileadmin/Informatik/AG-Kleine-Buening/files/ws11/pg-agents-2/Abschlussdoku-pg-1.pdf If you want to start MARS, check out all eclipse projects and run "gui.product" as Eclipse Application from the "de.upb.agents.gui" project. You can also download the Application for your OS and just start it. Further documentation will follow here. (project was started at sourceforge only two days ago) Feel free to write us or post your feedback and suggestions here. -
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ACLAnalyser is a powerful tool to validate, verify and debug a MAS (Multi Agent Systems). ACLAnalyser sniff all messages exchanged between agents in a MAS, store them in a data base, and recover them later to get interesting information.
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QASE is a Java-based API designed to provide all the functionality needed to create game agents in Quake 2. Powerful enough to facilitate high-end research, it is also suitable for undergrad courses geared towards classic AI and agent-based systems.
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Desktop and Mobile Device Management SoftwareDesktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
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JPA is platform independent, hybrid agent framework that enables users to use natural language to access applications such as email, file system, web services, database, and internet; all through a single user interface.
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This project investigates emerging agent societies undergoing evolutionary, individual, and social learning. The project involves an agent modeling environment, monitoring mechanisms, simulation engine and a distributed p2p platform. All this in Java.
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Neural networks, this is my first steps in this neobyatnoy topic, so to speak sample pen, not all here very clear to me, but gradually improving the implementation of this project hope to bring to mind
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videonetwork
A simulator for self-organizing video replication and more
...If we enable those visitors to share their content at the event, new challenges emerge. Visitors move, go online and offline, and build a dynamic network. One can say a complex adaptive network emerges, with all its problems. We tackle these problems by introducing a bio-inspired algorithm, which lets the content place itself where it is needed. It is robust, scalable and adaptive. The transport path of content is exploited to replicate content and limited storage space is handled by clean-up mechanisms. We implemented a simulator to show the algorithm's performance and to test its behavior under real circumstances. ...
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