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A C++ library of high level motion analysis/computer vision functions, coupled with GUIs that allow easy configuration and use. Current development focuses on color tracking, multiple camera calibration and triangulation, and 3D tracking algorithms.
Lightweight backpropagation neural network in C++. The project provides a class implementing a feedforward neural network, and a class for easily train it. It is highly customizable to manage your problem and comes with a simple graphical interface.
RobotFlow is a mobile robotics tookit based on FlowDesigner. The visual programming interface provided with FlowDesigner will help people to better visualize & understand what is really happening in the robot's control loops, sensors and actuators.
RTB - Team is a C++ framework and a collection of strategies for robots of the programming game "RealTimeBattle" in order to play in a team and communicate in an efficient way. The whole package depends on rtb version 1.0.6 or higher.
Amygdala is a C++ spiking neural network library. It includes several neuron models, SMP support and facilities for developing SNNs with genetic algorithms. Support for running Amygdala neural networks on workstation clusters and MPPs is also under way
The Open Source Probabilistic Networks Library is a tool for working with graphical models. It supports directed and undirected models, discrete and continuous variables, various inference and learning algorithms.
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Artificial Intelligence, 3D Graphics and Physics Framework
A C++ framework and applications for experimenting with artificial intelligence, 3D graphics and simulated physics. It's primary focus is to provide a testbed for simulated robotics using Ogre 3D and the Open Dynamics Engine.
The Cross-platform A. I. Framework For Everyone's Incredibly Nerdy Enjoyment (Caffeine) project is an attempt to simplify the process of learning AI programming.
This is a prolog-like programming language based on the fuzzy logic. It includes the class-libraries for fuzzy logic, probability theory and method of resolution, all made in C++. Java releases possible in the future.
Neural network libraries in many different languages compatible with each other, such that neural networks can be trained on one platform and utilised on another.
BPN++ is an easy-to-use C++ implementation of a backpropagation neuron net. This library should make it easy to equip your programms with the abilty to learn.
SPADES (System for Parallel Agent Discrete Event Simulation) is a
middleware system for the creation of artificial intelligence
agent-based simulations. SPADES supports robust distribution across
machines and tracks the thinking time of agents.
Casper, Cascading Parser, is a unification-based natural language parsing library. It uses a syntax based on Lexical Functional Grammar, and is developed in C++. Requires Libxml and STL.
Plansim is a C++ framework aimed to the development of efficient planner agents based on heuristic forward search, that use discrete event simulators as the model for the agent's environment.
Educational game framework supporting board games, strategy games, and other grid-based game boards. Currently uses Python/wxPython as the application language/library. C++ libs included to help create AI for the various games.
Erc is an interpreted link-oriented language. Majic is a java-based interpreter for Erc, and Majicc is a c++ based compiler for Erc which uses the Majic libraries.
Do you want a neural network OO class?
With documentation?
Do not go further... You found it!
you have here a complete library of different neural network in an OO encapsulation.
Starting from adaline, back propagation, Kohonen
TIKAPP is becoming a collection of tools for simulation of neural networks. The first available part is an ANSI-C++ library with support for backpropation networks.
This library implements self-organizing neural networks, also called Kohonen Nets. They can be used for high dimensional data analysis. Example: content based image recognition ( CBIR ).
RL++ is an easy to use modular open source library for Reinforcement Learning written in C++. It includes learning algorithms (TD, Sarsa, Q) as well as the implementation of value function representations (LookupTable, TileCoding, Neuronal Network).
Maiden-core is a Linux kernel robotics API module, extensible in Erc. The Maiden Project also documents and develops the Maiden architecture for mobile robots, a set of (optional) designs and standards for robots using the Maiden-core API.